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You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Relief Efforts for Puerto Rico are ramping up to bring needed help to those devastated by Hurricanes Irma & Maria.
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Relief Efforts for Puerto Rico are ramping up to bring needed help to those devastated by Hurricanes Irma & Maria.",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
The Trump admin keeps bragging about how low the death toll is from Hurricane Maria in Puerto Rico Not so fast.
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "The Trump admin keeps bragging about how low the death toll is from Hurricane Maria in Puerto Rico Not so fast.",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
We need to do everything humanly possible to help the people of PR. Our president might be a monster but as US citizens we are not!
|
PR US
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "We need to do everything humanly possible to help the people of PR. Our president might be a monster but as US citizens we are not!",
"role": "user"
},
{
"content": "PR US",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Hurricane Maria destroyed my hometown Utuado. Desperate for food/water. Please help! Donations are tax deductible:
|
Utuado
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Hurricane Maria destroyed my hometown Utuado. Desperate for food/water. Please help! Donations are tax deductible:",
"role": "user"
},
{
"content": "Utuado",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Right now there are three ladies that were killed in a mudslide in Utuado. They died the first day of the hurricane Maria Their still there
|
Utuado
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Right now there are three ladies that were killed in a mudslide in Utuado. They died the first day of the hurricane Maria Their still there",
"role": "user"
},
{
"content": "Utuado",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @SoleilMaz: Puerto Ricos reality, 10 days after #HurricaneMaria Not enough food, water, gas, health. #PuertoRico #WeNeedHelp .
|
Puerto Ricos PuertoRico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @SoleilMaz: Puerto Ricos reality, 10 days after #HurricaneMaria Not enough food, water, gas, health. #PuertoRico #WeNeedHelp .",
"role": "user"
},
{
"content": "Puerto Ricos PuertoRico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @TargetNews: .@Target donating $100K in cash & products to aid relief efforts in Puerto Rico following #HurricaneMaria. Details:
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @TargetNews: .@Target donating $100K in cash & products to aid relief efforts in Puerto Rico following #HurricaneMaria. Details:",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @MorningDewNews: BREAKING NEWS: More than 150 churches destroyed in Mexicos earthquake
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @MorningDewNews: BREAKING NEWS: More than 150 churches destroyed in Mexicos earthquake",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
They say food, water and monetary donations are a must for people in PR. For more information: @LEX18News
|
PR
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "They say food, water and monetary donations are a must for people in PR. For more information: @LEX18News",
"role": "user"
},
{
"content": "PR",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Returned from Mexico City. Wonderful people helping each other following the earthquake. Noteworthy resilience after many buildings damaged
|
Mexico City
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Returned from Mexico City. Wonderful people helping each other following the earthquake. Noteworthy resilience after many buildings damaged",
"role": "user"
},
{
"content": "Mexico City",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
PR govt is lying to the public: death toll from #HurricaneMaria not 16 and this comment that they hope it wont rise much more is shameful.
|
PR
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "PR govt is lying to the public: death toll from #HurricaneMaria not 16 and this comment that they hope it wont rise much more is shameful.",
"role": "user"
},
{
"content": "PR",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
We are supporting our pastors in Puerto Rico w/ Ministerial Relief funds for #HurricaneMaria recovery. Supporting Ministry is Our Mission!
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "We are supporting our pastors in Puerto Rico w/ Ministerial Relief funds for #HurricaneMaria recovery. Supporting Ministry is Our Mission!",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @GrrlScientist: No water, no food, and no help. They have forgotten about us, Jorge Daz Rivera said #PuertoRico #PuertoRicoRelief htt
|
PuertoRico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @GrrlScientist: No water, no food, and no help. They have forgotten about us, Jorge Daz Rivera said #PuertoRico #PuertoRicoRelief htt",
"role": "user"
},
{
"content": "PuertoRico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @HHI: HHI Director @mvanrooyen_md discusses the impact of #HurricaneMaria on #PuertoRico, and suggests ways to help.
|
PuertoRico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @HHI: HHI Director @mvanrooyen_md discusses the impact of #HurricaneMaria on #PuertoRico, and suggests ways to help.",
"role": "user"
},
{
"content": "PuertoRico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Heres how to help Puerto Rico with the disaster they are dealing with #infinitefireinc #helppuertorico
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Heres how to help Puerto Rico with the disaster they are dealing with #infinitefireinc #helppuertorico",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @CanEmbMexico: Ontario Premier @Kathleen_Wynne released a statement to announce support for earthquake relief efforts in Mexico /
|
Mexico Ontario
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @CanEmbMexico: Ontario Premier @Kathleen_Wynne released a statement to announce support for earthquake relief efforts in Mexico /",
"role": "user"
},
{
"content": "Mexico Ontario",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Our brothers and sisters in #PuertoRico need support. Go to to help us help them. #ReliefAndJustice4PR 57
|
PuertoRico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Our brothers and sisters in #PuertoRico need support. Go to to help us help them. #ReliefAndJustice4PR 57",
"role": "user"
},
{
"content": "PuertoRico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Luis, I lost all my money in the earthquake in Mexico.. But please tell me theres still a way I can help Puerto Rico @IamLuisFigueroa
|
Mexico Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Luis, I lost all my money in the earthquake in Mexico.. But please tell me theres still a way I can help Puerto Rico @IamLuisFigueroa",
"role": "user"
},
{
"content": "Mexico Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
The best charities to donate to for victims of Hurricane Maria in Puerto Rico #HurricaneMaria
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "The best charities to donate to for victims of Hurricane Maria in Puerto Rico #HurricaneMaria",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Help us share the aid we were able to collect for #MexicoEarthquake victims in #Oaxaca #Juchitan via
|
Juchitan Oaxaca
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Help us share the aid we were able to collect for #MexicoEarthquake victims in #Oaxaca #Juchitan via",
"role": "user"
},
{
"content": "Juchitan Oaxaca",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
#PuertoRico satellite data before/after Hurricane #Maria used to produce maps for responders IDing possible damage:
|
PuertoRico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "#PuertoRico satellite data before/after Hurricane #Maria used to produce maps for responders IDing possible damage:",
"role": "user"
},
{
"content": "PuertoRico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
@MsMinotaur A lot of people in Mexico helped after the earthquake, they auto organized and distributed the efforts, it was a huge labor by a lot of ppl
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "@MsMinotaur A lot of people in Mexico helped after the earthquake, they auto organized and distributed the efforts, it was a huge labor by a lot of ppl",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
@nycgov How about Dominica92 that is totally destroyed too? Maybe because they have less than 100,000 inhabitants 4
|
Dominica92
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "@nycgov How about Dominica92 that is totally destroyed too? Maybe because they have less than 100,000 inhabitants 4",
"role": "user"
},
{
"content": "Dominica92",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
These lovely CR ladies collected funds from CR employees and purchased a ton of needed supplies for Puerto Rico! #puertorico #hurricanemaria
|
Puerto Rico puertorico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "These lovely CR ladies collected funds from CR employees and purchased a ton of needed supplies for Puerto Rico! #puertorico #hurricanemaria",
"role": "user"
},
{
"content": "Puerto Rico puertorico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @USMC_SWORD: #FakenewsCNN & San Juan Mayor Carmen Yuln Cruz are insulting our US Military & their recovery efforts of saving lives #Hur
|
San Juan US
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @USMC_SWORD: #FakenewsCNN & San Juan Mayor Carmen Yuln Cruz are insulting our US Military & their recovery efforts of saving lives #Hur",
"role": "user"
},
{
"content": "San Juan US",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
AA EU Civil Protection experts assessing damaged buildings in 2DMexico D.F. Following the 7.1 M earthquake that hit on 19 Sept. #euCivPro
|
EU 2DMexico D.F.
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "AA EU Civil Protection experts assessing damaged buildings in 2DMexico D.F. Following the 7.1 M earthquake that hit on 19 Sept. #euCivPro",
"role": "user"
},
{
"content": "EU 2DMexico D.F.",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @artangeI: Asking my followers with the financial means to do so to donate to Puerto Rico. Link to @princessnokiaa GoFundMe: .
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @artangeI: Asking my followers with the financial means to do so to donate to Puerto Rico. Link to @princessnokiaa GoFundMe: .",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @V_of_Europe: At least 42 people have died during an earthquake. Our thoughts and prayers are with Mexico
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @V_of_Europe: At least 42 people have died during an earthquake. Our thoughts and prayers are with Mexico",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
USANA True Health Foundation Donates $50,000 To Victims Of Earthquake In Mexico
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "USANA True Health Foundation Donates $50,000 To Victims Of Earthquake In Mexico",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Kim Kardashian goes nude for Vogue Mexico and says she will donate proceeds to earthquake victims
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Kim Kardashian goes nude for Vogue Mexico and says she will donate proceeds to earthquake victims",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
A must read on Millions of Americans - this is an apolitical crisis so please ignore the politics. #PuertoRico needs help.
|
PuertoRico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "A must read on Millions of Americans - this is an apolitical crisis so please ignore the politics. #PuertoRico needs help.",
"role": "user"
},
{
"content": "PuertoRico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @BBCWorld: Ten days after a huge earthquake hit Mexico City, families of the missing are still desperately waiting for news. .
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @BBCWorld: Ten days after a huge earthquake hit Mexico City, families of the missing are still desperately waiting for news. .",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Ricky Martin On Ellen: As a Puerto Rican, As An American, I Ask for Your Help #AllIn4PR #Maria #HelpPuertoRico
|
Puerto Rican
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Ricky Martin On Ellen: As a Puerto Rican, As An American, I Ask for Your Help #AllIn4PR #Maria #HelpPuertoRico",
"role": "user"
},
{
"content": "Puerto Rican",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
#Sac4Mexico a fundraiser festival in #sacramento raising money for relief to those people affected by #mexicoearthquake Give what you canFD
|
sacramento
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "#Sac4Mexico a fundraiser festival in #sacramento raising money for relief to those people affected by #mexicoearthquake Give what you canFD",
"role": "user"
},
{
"content": "sacramento",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
We are dying, and you are killing us with inefficiency. Mayor of San Juan begs for aid after Hurricane Maria
|
San Juan
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "We are dying, and you are killing us with inefficiency. Mayor of San Juan begs for aid after Hurricane Maria",
"role": "user"
},
{
"content": "San Juan",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @lillys_news: Puerto Rico Recovery a Tale of Two Islands; Supplies Flowing, but Not to Remote Areas
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @lillys_news: Puerto Rico Recovery a Tale of Two Islands; Supplies Flowing, but Not to Remote Areas",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Benefit concert to help children victims fr Mexico earthquake put on by @sdschools students! @los_hollywood @BeKindDreamBig @KUSINews
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Benefit concert to help children victims fr Mexico earthquake put on by @sdschools students! @los_hollywood @BeKindDreamBig @KUSINews",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Update: @wondermade, @feedhopenow & Buttermilk Bakery are helping. How To Help Puerto Rico After Hurricane Maria
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Update: @wondermade, @feedhopenow & Buttermilk Bakery are helping. How To Help Puerto Rico After Hurricane Maria",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @mexicoworldcup: Auction going on right now to raise funds for those affected by the earthquake in Mexico. Jerseys being auctioned: http
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @mexicoworldcup: Auction going on right now to raise funds for those affected by the earthquake in Mexico. Jerseys being auctioned: http",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @Alex_Arpaia: in case youre still trying to figure out where to donate to help PR, this is a very helpful vetted list.
|
PR
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @Alex_Arpaia: in case youre still trying to figure out where to donate to help PR, this is a very helpful vetted list.",
"role": "user"
},
{
"content": "PR",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
.@101stAirborneCa are conducting #MEDEVAC & relief efforts to support FEMA the recovery process in Puerto Rico after #HurricaneMaria.
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": ".@101stAirborneCa are conducting #MEDEVAC & relief efforts to support FEMA the recovery process in Puerto Rico after #HurricaneMaria.",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Residents of the U.S. Virgin Islands are citizens too and also need help to recover from hurricane Maria.
|
U.S.
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Residents of the U.S. Virgin Islands are citizens too and also need help to recover from hurricane Maria.",
"role": "user"
},
{
"content": "U.S.",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @Scavino45: #USNSComfort en route to #PuertoRico, from Norfolk, Virginia to support Hurricane Maria relief efforts. A857
|
Norfolk PuertoRico Virginia
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @Scavino45: #USNSComfort en route to #PuertoRico, from Norfolk, Virginia to support Hurricane Maria relief efforts. A857",
"role": "user"
},
{
"content": "Norfolk PuertoRico Virginia",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
How to Help Puerto Rico: 12 Effective Ways to Donate Money
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "How to Help Puerto Rico: 12 Effective Ways to Donate Money",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @hannah_emme: Puerto Rico & Caribbean Hurricane Relief Fund on @globalgiving: #puertorico #hurricanemaria #give
|
Caribbean Puerto Rico puertorico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @hannah_emme: Puerto Rico & Caribbean Hurricane Relief Fund on @globalgiving: #puertorico #hurricanemaria #give",
"role": "user"
},
{
"content": "Caribbean Puerto Rico puertorico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @LenaCiminillo: Help the Kalinago Community Rebuild from Hurricane Maria via @youcaring
|
Kalinago
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @LenaCiminillo: Help the Kalinago Community Rebuild from Hurricane Maria via @youcaring",
"role": "user"
},
{
"content": "Kalinago",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
FEMA - a snapshot of inbound supplies and personnel. The main problem? On-island distribution. #PuertoRicoRelief #PuertoRico #HurricaneMaria
|
PuertoRico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "FEMA - a snapshot of inbound supplies and personnel. The main problem? On-island distribution. #PuertoRicoRelief #PuertoRico #HurricaneMaria",
"role": "user"
},
{
"content": "PuertoRico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
#Mexico Death Toll Rises to 360 in Mexico Earthquake por THE ASSOCIATED PRESS via NYT
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "#Mexico Death Toll Rises to 360 in Mexico Earthquake por THE ASSOCIATED PRESS via NYT",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @Starseed52: Exclusive: Island of Vieques Virtually Destroyed by Hurricane Maria. #PuertoRico #SanJuan #Vieques 10,000 Natives
|
Island of Vieques PuertoRico SanJuan Vieques
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @Starseed52: Exclusive: Island of Vieques Virtually Destroyed by Hurricane Maria. #PuertoRico #SanJuan #Vieques 10,000 Natives",
"role": "user"
},
{
"content": "Island of Vieques PuertoRico SanJuan Vieques",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Hurricane Maria Destruction to AM WDHP 1620 Antenna Tower in U.S. Virgin Islands
|
U.S. Virgin Islands
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Hurricane Maria Destruction to AM WDHP 1620 Antenna Tower in U.S. Virgin Islands",
"role": "user"
},
{
"content": "U.S. Virgin Islands",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
@JoeFreedomLove This are Cuban doctors in Mexico to aid after earthquake!
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "@JoeFreedomLove This are Cuban doctors in Mexico to aid after earthquake!",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
@JohnLegere @Martialvivot Would you do it for charity to help Puerto Rico and Hurricane Maria relief?
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "@JohnLegere @Martialvivot Would you do it for charity to help Puerto Rico and Hurricane Maria relief?",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @HoganZeroes: SOS! @DrRandPaul 9,000 Americans on PR island of Vieques. No FEMA No Red Cross Coded Wrong #helpUSAveVIEQUES
|
PR island of Vieques
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @HoganZeroes: SOS! @DrRandPaul 9,000 Americans on PR island of Vieques. No FEMA No Red Cross Coded Wrong #helpUSAveVIEQUES",
"role": "user"
},
{
"content": "PR island of Vieques",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
@USCG continues assisting with damage and humanitarian need assessments in #PuertoRico following #Hurricane #Maria. Pictures from a MH-60 Jayhawk helicopter crew flying over Aguadilla, Comerio, Ponce, Peuelas, Cabo Rojo, Comerio and Guanica yesterday. (Coast Guard photos)
|
Aguadilla Cabo Rojo Comerio Guanica Peñuelas Ponce PuertoRico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "@USCG continues assisting with damage and humanitarian need assessments in #PuertoRico following #Hurricane #Maria. Pictures from a MH-60 Jayhawk helicopter crew flying over Aguadilla, Comerio, Ponce, Peuelas, Cabo Rojo, Comerio and Guanica yesterday. (Coast Guard photos)",
"role": "user"
},
{
"content": "Aguadilla Cabo Rojo Comerio Guanica Peñuelas Ponce PuertoRico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
@RealConstable @JeffMacke @JohnEarlBurnett @TFMkts @paulocoelho @RudyHavenstein @StockCats @rr0710 @bgallo @number3mag @DennisPOwens1 @RichOnOWN @CrusePhoto @TibstheCat @theOFDA @LACo_FD #FF LA Firefighters and rescue dogs !!! Helping Mexico, City recover from the earthquake #EarthquakeMexico #mexicoearthquake #LosAngeles
|
LosAngeles Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "@RealConstable @JeffMacke @JohnEarlBurnett @TFMkts @paulocoelho @RudyHavenstein @StockCats @rr0710 @bgallo @number3mag @DennisPOwens1 @RichOnOWN @CrusePhoto @TibstheCat @theOFDA @LACo_FD #FF LA Firefighters and rescue dogs !!! Helping Mexico, City recover from the earthquake #EarthquakeMexico #mexicoearthquake #LosAngeles",
"role": "user"
},
{
"content": "LosAngeles Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @moefeliu: List of trusted organizations offering aid to #PuertoRico after #HurricaneMaria #MariaPR #PRDiasporaR
|
PuertoRico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @moefeliu: List of trusted organizations offering aid to #PuertoRico after #HurricaneMaria #MariaPR #PRDiasporaR",
"role": "user"
},
{
"content": "PuertoRico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
@fema @pitbull @PuertoRicoPUR @SeePuertoRico @PRFAA @FEMAregion3 @HereIsGina Hi @Lin_Manuel these 2 young girls have been missing in Puerto Rico since Hurricane Maria. Please help us spread the word!
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "@fema @pitbull @PuertoRicoPUR @SeePuertoRico @PRFAA @FEMAregion3 @HereIsGina Hi @Lin_Manuel these 2 young girls have been missing in Puerto Rico since Hurricane Maria. Please help us spread the word!",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
The beautiful Puerto Rico neighborhood made famous by Luis Fonsi & Daddy Yankees Despacito music video was destroyed by Hurricane Maria.
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "The beautiful Puerto Rico neighborhood made famous by Luis Fonsi & Daddy Yankees Despacito music video was destroyed by Hurricane Maria.",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Our hearts go out to those in #PuertoRico rebuilding after #HurricaneMaria. Our donations go to @UNICEF who is helping on site.
|
PuertoRico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Our hearts go out to those in #PuertoRico rebuilding after #HurricaneMaria. Our donations go to @UNICEF who is helping on site.",
"role": "user"
},
{
"content": "PuertoRico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @SaraJBenincasa: Heres a list of ways to help Puerto Rico via @glamourmag
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @SaraJBenincasa: Heres a list of ways to help Puerto Rico via @glamourmag",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @quintabrunson: #kylieispregnant just kidding, this tweet isnt about that. Donate to hurricane relief in Puerto Rico here-
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @quintabrunson: #kylieispregnant just kidding, this tweet isnt about that. Donate to hurricane relief in Puerto Rico here-",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Fantastic work, MarcoFabian_10! F The eintracht_eng player has been raising money for Mexicos earthquake victim
|
Mexicos
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Fantastic work, MarcoFabian_10! F The eintracht_eng player has been raising money for Mexicos earthquake victim",
"role": "user"
},
{
"content": "Mexicos",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @verizon: To support #HurricaneMaria relief efforts in Puerto Rico, we are pledging an additional $4 million in support.
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @verizon: To support #HurricaneMaria relief efforts in Puerto Rico, we are pledging an additional $4 million in support.",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Puerto Rico still needs our help! Please donate what you can: #HurricaneMaria #PuertoRicoRelief #pray
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Puerto Rico still needs our help! Please donate what you can: #HurricaneMaria #PuertoRicoRelief #pray",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
How to Help Animals Affected by Hurricanes Irma and Maria #helptheanimals #hurricaneirma #hurricanemaria #puertorico
|
puertorico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "How to Help Animals Affected by Hurricanes Irma and Maria #helptheanimals #hurricaneirma #hurricanemaria #puertorico",
"role": "user"
},
{
"content": "puertorico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
@realDonaldTrump @ricardorossello FACTS: FEMA continues to coordinate support for Virgin Islands & Puerto Ricos response efforts (from 5 days ago)
|
Puerto Rico Virgin Islands
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "@realDonaldTrump @ricardorossello FACTS: FEMA continues to coordinate support for Virgin Islands & Puerto Ricos response efforts (from 5 days ago)",
"role": "user"
},
{
"content": "Puerto Rico Virgin Islands",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
@isteintraum so is hurricane Maria racist because it killed people in Puerto Rico because they werent white?
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "@isteintraum so is hurricane Maria racist because it killed people in Puerto Rico because they werent white?",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @WFTV: Hurricane Maria: Catholic Charities of Central Florida joins aid efforts for Puerto Rico
|
Catholic Charities of Central Florida Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @WFTV: Hurricane Maria: Catholic Charities of Central Florida joins aid efforts for Puerto Rico",
"role": "user"
},
{
"content": "Catholic Charities of Central Florida Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
HELP US. WE ARE DYING. #HurricaneMaria #PuertoRico
|
PuertoRico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "HELP US. WE ARE DYING. #HurricaneMaria #PuertoRico",
"role": "user"
},
{
"content": "PuertoRico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
I am helping @MercyCorps respond to help families devastated by #HurricaneMaria in Puerto Rico. Please join me:
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "I am helping @MercyCorps respond to help families devastated by #HurricaneMaria in Puerto Rico. Please join me:",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Duncan USVI Relief: Will match financial donations up to $1,000,000 for relief efforts in the US Virgin Islands. #HurricaneMaria #USVirginIslandRelief
|
US Virgin Islands
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Duncan USVI Relief: Will match financial donations up to $1,000,000 for relief efforts in the US Virgin Islands. #HurricaneMaria #USVirginIslandRelief",
"role": "user"
},
{
"content": "US Virgin Islands",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Police rescue dog from rubble in Mexico City nearly a week after 7.1-magnitude earthquake collapsed 38 structures.
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Police rescue dog from rubble in Mexico City nearly a week after 7.1-magnitude earthquake collapsed 38 structures.",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @sdschools: Donations from the community coming in strong for the earthquake victims of Mexico City
|
Mexico City
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @sdschools: Donations from the community coming in strong for the earthquake victims of Mexico City",
"role": "user"
},
{
"content": "Mexico City",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @dannyaltman: Help the poorest people slammed by Hurricane Maria in Puerto Rico:
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @dannyaltman: Help the poorest people slammed by Hurricane Maria in Puerto Rico:",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Mexican artist at @artsandiego_ will donate his earnings of the show to victims of the earthquake in Mexico. Please help RT @LaPrensaSD F
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Mexican artist at @artsandiego_ will donate his earnings of the show to victims of the earthquake in Mexico. Please help RT @LaPrensaSD F",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Hurricane Maria Puerto Rico Relief Charity Event: via @YouTube
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Hurricane Maria Puerto Rico Relief Charity Event: via @YouTube",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Hurricane maria puerto rico relief charity Event stream #Hurricanemaria #PuertoRico #Teamemmmmsie @Travler86 live at
|
PuertoRico puerto rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Hurricane maria puerto rico relief charity Event stream #Hurricanemaria #PuertoRico #Teamemmmmsie @Travler86 live at",
"role": "user"
},
{
"content": "PuertoRico puerto rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Newark to hold major donation drive for Hurricane Maria victims
|
Newark
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Newark to hold major donation drive for Hurricane Maria victims",
"role": "user"
},
{
"content": "Newark",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Time to step up Amazon and help with delivery of needed food and supplies to Puerto Rico. Bezos, speak up! #HurricaneMaria
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Time to step up Amazon and help with delivery of needed food and supplies to Puerto Rico. Bezos, speak up! #HurricaneMaria",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Donate the Cost of a Starbucks Coffee and Help Raise $100,000 to rehouse 50 Families after Mexico Earthquake : -
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Donate the Cost of a Starbucks Coffee and Help Raise $100,000 to rehouse 50 Families after Mexico Earthquake : -",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
.@NickJacksonYB @MattJackson13 Are you OK if I print these & donated all money to Puerto Rico Hurricane relief?
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": ".@NickJacksonYB @MattJackson13 Are you OK if I print these & donated all money to Puerto Rico Hurricane relief?",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Josh Norman Pledges to Send $100K to Puerto Rico for Hurricane Maria Relief #Skins
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Josh Norman Pledges to Send $100K to Puerto Rico for Hurricane Maria Relief #Skins",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
#US - - Corporate donations for Hurricane Maria relief top $24 million - CNN - KCTV5 -
|
US
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "#US - - Corporate donations for Hurricane Maria relief top $24 million - CNN - KCTV5 -",
"role": "user"
},
{
"content": "US",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
@Rangers to donate proceeds of Texas 2 Split 50/50 Raffle to Hurricane Maria relief efforts from Sundays season finale against @Athletics.
|
Texas
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "@Rangers to donate proceeds of Texas 2 Split 50/50 Raffle to Hurricane Maria relief efforts from Sundays season finale against @Athletics.",
"role": "user"
},
{
"content": "Texas",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
#Cuba send 19 doctors and 18 other #health workers to help people in #Oaxaca #Mexico after #earthquake #solidarity #Japan #mexicoearthquake
|
Cuba Japan Mexico Oaxaca
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "#Cuba send 19 doctors and 18 other #health workers to help people in #Oaxaca #Mexico after #earthquake #solidarity #Japan #mexicoearthquake",
"role": "user"
},
{
"content": "Cuba Japan Mexico Oaxaca",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @sunlorrie: Oh, look! Journalism: Factbox: Relief efforts in Puerto Rico after Hurricane Maria
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @sunlorrie: Oh, look! Journalism: Factbox: Relief efforts in Puerto Rico after Hurricane Maria",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
#missingperson #HurricaneMaria #PuertoRico #SanSebastian Please help us find her.
|
PuertoRico SanSebastian
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "#missingperson #HurricaneMaria #PuertoRico #SanSebastian Please help us find her.",
"role": "user"
},
{
"content": "PuertoRico SanSebastian",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Fantastic work, @MarcoFabian_10! F The @eintracht_eng player has been raising money for Mexicos earthquake victims F2D
|
Mexicos
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Fantastic work, @MarcoFabian_10! F The @eintracht_eng player has been raising money for Mexicos earthquake victims F2D",
"role": "user"
},
{
"content": "Mexicos",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
SD Students Hold Concert for Victims of Mexico Earthquake
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "SD Students Hold Concert for Victims of Mexico Earthquake",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Hi @amazon @JeffBezos we need 1,000ds hydration backpacks for police, National Guard helping us in #PuertoRico #HurricaneMaria can you help?
|
PuertoRico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Hi @amazon @JeffBezos we need 1,000ds hydration backpacks for police, National Guard helping us in #PuertoRico #HurricaneMaria can you help?",
"role": "user"
},
{
"content": "PuertoRico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Fresh @GrowNYC intel: NY Farmers are saving seeds to share with PR, topsoil and crops washed away by Hurricane Maria #eatitmaria
|
PR
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Fresh @GrowNYC intel: NY Farmers are saving seeds to share with PR, topsoil and crops washed away by Hurricane Maria #eatitmaria",
"role": "user"
},
{
"content": "PR",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @clintonkowach: Death toll rises to 360 in Mexico earthquake via @ABC #News #Bibleprophecy #Truth #Knowledge #Wi
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @clintonkowach: Death toll rises to 360 in Mexico earthquake via @ABC #News #Bibleprophecy #Truth #Knowledge #Wi",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Hurricane Marias death toll in Puerto Rico is much higher than official count. Must be certified before counted.
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Hurricane Marias death toll in Puerto Rico is much higher than official count. Must be certified before counted.",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
After covering Vogue Mexico, Kim Kardashian is asking her followers to donate towards earthquake relief efforts:
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "After covering Vogue Mexico, Kim Kardashian is asking her followers to donate towards earthquake relief efforts:",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Awesome to see our Mexico City earthquake relief benefit shirt be our best seller this week on Amazon! Get yours today - 100% of our profits are going to Mexico! Free shipping for Prime members. Get it at
|
Mexico Mexico City
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Awesome to see our Mexico City earthquake relief benefit shirt be our best seller this week on Amazon! Get yours today - 100% of our profits are going to Mexico! Free shipping for Prime members. Get it at",
"role": "user"
},
{
"content": "Mexico Mexico City",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
A bunch of professional baseball players in Mexico got together today to play an all star game. ALL PROCEEDS went to earthquake victims.
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "A bunch of professional baseball players in Mexico got together today to play an all star game. ALL PROCEEDS went to earthquake victims.",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
The amazing performance at the Mexican fundraising #fundraiser #calgary #community #help #mexico #earthquake
|
mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "The amazing performance at the Mexican fundraising #fundraiser #calgary #community #help #mexico #earthquake",
"role": "user"
},
{
"content": "mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @TheSportsman: 2D F Force India driver Sergio Perez has donated 124,500 to the victims of the earthquake in Mexico.
|
India Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @TheSportsman: 2D F Force India driver Sergio Perez has donated 124,500 to the victims of the earthquake in Mexico.",
"role": "user"
},
{
"content": "India Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @samroza: RT ResistanceParty RT CNNImpact: #PuertoRico desperately needs water, food, and medicine after #HurricaneMaria de .
|
PuertoRico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @samroza: RT ResistanceParty RT CNNImpact: #PuertoRico desperately needs water, food, and medicine after #HurricaneMaria de .",
"role": "user"
},
{
"content": "PuertoRico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @mshusa: New post: By the numbers: Hurricane Maria damage, recovery in Puerto Rico
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @mshusa: New post: By the numbers: Hurricane Maria damage, recovery in Puerto Rico",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
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