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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.
|
RT @miroldemadre: Help me raise 200 to help people in Mexico after the 19.09 earthquake. Pls #donate on @justgiving and RT. Thanks! :
|
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 @miroldemadre: Help me raise 200 to help people in Mexico after the 19.09 earthquake. Pls #donate on @justgiving and RT. Thanks! :",
"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.
|
#PuertoRico was already very bad with power, water & services before #HurricaneMaria now with #PuertoRicoRelief it will be #PuertoRicoStrong
|
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 was already very bad with power, water & services before #HurricaneMaria now with #PuertoRicoRelief it will be #PuertoRicoStrong",
"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 @cbschicago: US @RepGutierrez flying to Puerto Rico for firsthand look at damage from #HurricaneMaria. @susannas
|
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 @cbschicago: US @RepGutierrez flying to Puerto Rico for firsthand look at damage from #HurricaneMaria. @susannas",
"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.
|
#Maria2017 - @USArmy @1AD_CAB #Soldiers Preparing for #PuertoRico #HurricaneMaria Relief | | #USArmy, @USArmyNorth
|
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": "#Maria2017 - @USArmy @1AD_CAB #Soldiers Preparing for #PuertoRico #HurricaneMaria Relief | | #USArmy, @USArmyNorth",
"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.
|
Evacuation Airlift. @USNavy #sailor prepares victims inside a #MH60 1 for evacuation from #Dominica following #HurricaneMaria.
|
Dominica
|
[
{
"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": "Evacuation Airlift. @USNavy #sailor prepares victims inside a #MH60 1 for evacuation from #Dominica following #HurricaneMaria.",
"role": "user"
},
{
"content": "Dominica",
"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 @mapillary: Humanitarian mappers in Mexico are documenting earthquake damage.
|
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 @mapillary: Humanitarian mappers in Mexico are documenting earthquake damage.",
"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.
|
#HurricaneMaria #HurricaneIrma: @CocaColaCo providing $1m to Salvation Army to help relief efforts in #PuertoRico/VI
|
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": "#HurricaneMaria #HurricaneIrma: @CocaColaCo providing $1m to Salvation Army to help relief efforts in #PuertoRico/VI",
"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.
|
Cant retweet this enough. #HurricaneMaria #Donate #PuertoRico #Dominica #USVI #Americans @Tampa_Live @CityofTampa @TB_Times @FOX13News
|
Dominica 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": "Cant retweet this enough. #HurricaneMaria #Donate #PuertoRico #Dominica #USVI #Americans @Tampa_Live @CityofTampa @TB_Times @FOX13News",
"role": "user"
},
{
"content": "Dominica 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 @HighvTweet: Two water ferries that go between #StThomas and #Stjohn are damaged and appear to be sinking. #usvi #hurricanemaria
|
StThomas usvi
|
[
{
"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 @HighvTweet: Two water ferries that go between #StThomas and #Stjohn are damaged and appear to be sinking. #usvi #hurricanemaria",
"role": "user"
},
{
"content": "StThomas usvi",
"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 @ScienceTeens: #HurricaneMaria has devastated Puerto Rico 57Looking for ways to help? Check out this article!
|
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 @ScienceTeens: #HurricaneMaria has devastated Puerto Rico 57Looking for ways to help? Check out this article!",
"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 @AANP: AANP member prepares for aid trip to #PuertoRico following Hurricane Maria. How you can help provide vital supplies:
|
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 @AANP: AANP member prepares for aid trip to #PuertoRico following Hurricane Maria. How you can help provide vital supplies:",
"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.
|
The disaster psychologists who helped after #Mexicos #quake via @BBC_Future #earthquake #sismo #mentalhealth
|
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 disaster psychologists who helped after #Mexicos #quake via @BBC_Future #earthquake #sismo #mentalhealth",
"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.
|
Mexico City Motorcyclists Provide Aid After Earthquake: Jose Luis with some of the riders
|
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 City Motorcyclists Provide Aid After Earthquake: Jose Luis with some of the riders",
"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.
|
Marias Devastation Across the Caribbean: Damaged Hospitals Running Out of Supplies in U.S. Virgin Islands #OGA8
|
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": "Marias Devastation Across the Caribbean: Damaged Hospitals Running Out of Supplies in U.S. Virgin Islands #OGA8",
"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.
|
Great way to help our fellow Americans in #PuertoRico after #HurricaneMaria from @neighborworks org @PathStoneCorp A857
|
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": "Great way to help our fellow Americans in #PuertoRico after #HurricaneMaria from @neighborworks org @PathStoneCorp A857",
"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.
|
Im raising money for State of Mexico Earthquake victims. Click to Donate: via @gofundme
|
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": "Im raising money for State of Mexico Earthquake victims. Click to Donate: via @gofundme",
"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 @CNYcentral: Puerto Rico in desperate need of help 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 @CNYcentral: Puerto Rico in desperate need of help 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.
|
HHS sets up emergency medical base in Puerto Rico @HHSGov, #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": "HHS sets up emergency medical base in Puerto Rico @HHSGov, #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.
|
Please join us for Hurricane Maria relief this Saturday on Melrose St btwn Buchwick & Broadway. Every bit counts! #hurricanerelief #unidos
|
Buchwick & Broadway Melrose St
|
[
{
"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": "Please join us for Hurricane Maria relief this Saturday on Melrose St btwn Buchwick & Broadway. Every bit counts! #hurricanerelief #unidos",
"role": "user"
},
{
"content": "Buchwick & Broadway Melrose St",
"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 @AsaHutchinson: Proud of the @arkansasguard for assisting our neighbors with Hurricane Maria relief in our U.S. Territories.
|
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": "RT @AsaHutchinson: Proud of the @arkansasguard for assisting our neighbors with Hurricane Maria relief in our U.S. Territories.",
"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 @SCNationalGuard: #sctweets First #SCGuard Engineer convoy prepares for staging to depart for #HurricaneMaria recovery #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": "RT @SCNationalGuard: #sctweets First #SCGuard Engineer convoy prepares for staging to depart for #HurricaneMaria recovery #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.
|
Beyonce has released a new single to raise funds for those affected by a series of hurricanes from the Caribbean and an 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": "Beyonce has released a new single to raise funds for those affected by a series of hurricanes from the Caribbean and an 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.
|
Barcelona Foundation and UNICEF donate 200,000 euros to earthquake victims in Mexico
|
Barcelona 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": "Barcelona Foundation and UNICEF donate 200,000 euros to earthquake victims in Mexico",
"role": "user"
},
{
"content": "Barcelona 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: In PR & USVI all PIOs/NRIs are safe. Property damaged. Consulate in touch with community leaders.@MEAIndia @SushmaSwaraj
|
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": "Hurricane Maria: In PR & USVI all PIOs/NRIs are safe. Property damaged. Consulate in touch with community leaders.@MEAIndia @SushmaSwaraj",
"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.
|
Spanish-born @chefjoseandres has landed in Puerto Rico, providing meals to staff aiding #HurricaneMaria efforts:
|
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": "Spanish-born @chefjoseandres has landed in Puerto Rico, providing meals to staff aiding #HurricaneMaria efforts:",
"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.
|
Former Island runner and coach says Hurricane Maria destroyed 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": "Former Island runner and coach says Hurricane Maria destroyed 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.
|
Mexico Earthquake: Israeli humanitarian and emergency teams are at the scene, rescuing survivors and providing
|
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 Earthquake: Israeli humanitarian and emergency teams are at the scene, rescuing survivors and providing",
"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 @MalloryEvents: #11 - attend the @TheTorchClub Hurricane Relief benefit concert in Sacramento on 10/4 #HelpPuertoRico
|
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": "RT @MalloryEvents: #11 - attend the @TheTorchClub Hurricane Relief benefit concert in Sacramento on 10/4 #HelpPuertoRico",
"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.
|
Please help your fellow Americans in the US Virgin Islands Puerto Rico and people of Saint Croix St Thomas Dominica donate now
|
Dominica Puerto Rico Saint Croix St 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": "Please help your fellow Americans in the US Virgin Islands Puerto Rico and people of Saint Croix St Thomas Dominica donate now",
"role": "user"
},
{
"content": "Dominica Puerto Rico Saint Croix St 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.
|
Puerto Rico, short on fuel, cannot deliver food and medicine to the victims of 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": "Puerto Rico, short on fuel, cannot deliver food and medicine to the victims of 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 @alejandrotorio: @5ChurchCHS via @ChasCityPaper on Hurricane Maria relief efforts in Puerto Rico #Charleston #ch
|
Charleston 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 @alejandrotorio: @5ChurchCHS via @ChasCityPaper on Hurricane Maria relief efforts in Puerto Rico #Charleston #ch",
"role": "user"
},
{
"content": "Charleston 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.
|
Damage caused by Hurricane Maria likely to affect Puerto Ricos economy heavily, increasing contract and #Defense
|
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": "Damage caused by Hurricane Maria likely to affect Puerto Ricos economy heavily, increasing contract and #Defense",
"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.
|
Popular Launches Embracing Puerto Rico and Donates $1M for Fundraising Account for Victims of 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": "Popular Launches Embracing Puerto Rico and Donates $1M for Fundraising Account for Victims of 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.
|
These are text messages from my aunt in Puerto Rico. The damage there is real, this is real. Please keep praying #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": "These are text messages from my aunt in Puerto Rico. The damage there is real, this is real. Please keep praying #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.
|
San Juan Mayor responds to American spin on relief efforts: Damn it, this is not a good news story
|
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": "San Juan Mayor responds to American spin on relief efforts: Damn it, this is not a good news story",
"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.
|
#HurricaneMaria basically tore apart our nations only tropical rainforest #ElYunque. Its also destroyed farms and crippled hospitals.
|
ElYunque
|
[
{
"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": "#HurricaneMaria basically tore apart our nations only tropical rainforest #ElYunque. Its also destroyed farms and crippled hospitals.",
"role": "user"
},
{
"content": "ElYunque",
"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.
|
Post #HurricaneMaria: Report from #PuertoRico: Death Toll Higher Than Reported amid #WaterShortage & #HealthCrisis.
|
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": "Post #HurricaneMaria: Report from #PuertoRico: Death Toll Higher Than Reported amid #WaterShortage & #HealthCrisis.",
"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.
|
In the aftermath of the #earthquake s tragedy in #Mexico, several countries supported efforts towards rescuing of victims. Many thanks!@AFP
|
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": "In the aftermath of the #earthquake s tragedy in #Mexico, several countries supported efforts towards rescuing of victims. Many thanks!@AFP",
"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.
|
According To Fake News CNN I guess all the Damage to Houston and Florida is nothing compared to the Damage in Puerto Rico
|
Florida Houston 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": "According To Fake News CNN I guess all the Damage to Houston and Florida is nothing compared to the Damage in Puerto Rico",
"role": "user"
},
{
"content": "Florida Houston 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 Relief Food Drive for Puerto Rico via @lacmagazine
|
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 Relief Food Drive for Puerto Rico via @lacmagazine",
"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.
|
#19S Earthquake: death toll has risen 214 just in 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": "#19S Earthquake: death toll has risen 214 just in 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.
|
We are on the ground in #PuertoRico assessing damage from #HurricaneMaria. With power out, we brought #solarlights. More relief to come
|
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": "We are on the ground in #PuertoRico assessing damage from #HurricaneMaria. With power out, we brought #solarlights. More relief to come",
"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 @XHNews: #Mexico unveils website () to channel help 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": "RT @XHNews: #Mexico unveils website () to channel help 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.
|
At its Board meeting last night, @ADG800 voted to contribute an additional $2 per member to the Walsh/DiTolla/Spivak Foundation to help @IATSE members impacted by Hurricanes Irma and Maria. Visit to find assistance or to join us in contributing funds.
|
Spivak Foundation
|
[
{
"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": "At its Board meeting last night, @ADG800 voted to contribute an additional $2 per member to the Walsh/DiTolla/Spivak Foundation to help @IATSE members impacted by Hurricanes Irma and Maria. Visit to find assistance or to join us in contributing funds.",
"role": "user"
},
{
"content": "Spivak Foundation",
"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 @AFP: Thousands are still homeless in Mexico, a week after an earthquake killed more than 300 people
|
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 @AFP: Thousands are still homeless in Mexico, a week after an earthquake killed more than 300 people",
"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.
|
NY gives aid to #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": "NY gives aid to #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.
|
RT @JusticetheSmith: the least I can do is signal boost this DONATE TO PUERTO RICO HURRICANE RELIEF & MEXICO EARTHQ
|
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": "RT @JusticetheSmith: the least I can do is signal boost this DONATE TO PUERTO RICO HURRICANE RELIEF & MEXICO EARTHQ",
"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.
|
WaterStep and GE Appliances sending clean water kits to Puerto Rico for HurricaneMaria victims
|
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": "WaterStep and GE Appliances sending clean water kits to Puerto Rico for HurricaneMaria victims",
"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 @guardianworld: Nine days after Hurricane Maria, thousands of containers of supplies are stuck in Puerto Ricos ports and warehouses htt
|
Puerto Ricos
|
[
{
"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 @guardianworld: Nine days after Hurricane Maria, thousands of containers of supplies are stuck in Puerto Ricos ports and warehouses htt",
"role": "user"
},
{
"content": "Puerto Ricos",
"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 @RosLehtinen: .@RepJenniffer makes it clear that #PuertoRico needs our help now in order 2 recover from #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": "RT @RosLehtinen: .@RepJenniffer makes it clear that #PuertoRico needs our help now in order 2 recover from #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.
|
Restaurant: New York > Hurricane Maria Relief: This Week In -> #restaurant
|
New York
|
[
{
"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": "Restaurant: New York > Hurricane Maria Relief: This Week In -> #restaurant",
"role": "user"
},
{
"content": "New York",
"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.
|
Easy Ways You Can Help Mexicos Earthquake Victims via @fabiolaofmexico #blogginggals #bloggerslife #bloggersblast
|
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": "Easy Ways You Can Help Mexicos Earthquake Victims via @fabiolaofmexico #blogginggals #bloggerslife #bloggersblast",
"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.
|
A great way to donate to help w/ #PuertoRico hurricane, Mexico earthquake, or both: #FuerzaPuertoRico #FuerzaMxico
|
Mexico 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 great way to donate to help w/ #PuertoRico hurricane, Mexico earthquake, or both: #FuerzaPuertoRico #FuerzaMxico",
"role": "user"
},
{
"content": "Mexico 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.
|
Canned food Drive video is out Now! Go to Durant Road Middle School Homepage. Please donate to help the victime of hurricane irma/maria.
|
Durant Road Middle School
|
[
{
"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": "Canned food Drive video is out Now! Go to Durant Road Middle School Homepage. Please donate to help the victime of hurricane irma/maria.",
"role": "user"
},
{
"content": "Durant Road Middle School",
"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.
|
And there was no advance warning for Haiti earthquake. Hurricane hitting Puerto Rico was no surprise.
|
Haiti 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": "And there was no advance warning for Haiti earthquake. Hurricane hitting Puerto Rico was no surprise.",
"role": "user"
},
{
"content": "Haiti 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.
|
Visit to learn about local assistance and resources for #HurricaneMaria victims in #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": "Visit to learn about local assistance and resources for #HurricaneMaria victims in #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.
|
@washingtonpost @CarmenYulinCruz DONT FORGET ST THOMAS & DOMINICA SOS THEY NEED HELP POLITICIAN LEADERS LEFT! @fema @RepGutierrez #Help #HurricaneMaria #NFL #Friday
|
DOMINICA ST THOMAS
|
[
{
"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": "@washingtonpost @CarmenYulinCruz DONT FORGET ST THOMAS & DOMINICA SOS THEY NEED HELP POLITICIAN LEADERS LEFT! @fema @RepGutierrez #Help #HurricaneMaria #NFL #Friday",
"role": "user"
},
{
"content": "DOMINICA ST THOMAS",
"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 relief drive will be held Sunday in Fishkill to collect supplies for those in Puerto Rico affected 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": "A relief drive will be held Sunday in Fishkill to collect supplies for those in Puerto Rico affected 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.
|
Help us support Mexico at this Sundays concert w/ Maestro Juan Pablo Horcasitas. Proceeds go to earthquake relief
|
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": "Help us support Mexico at this Sundays concert w/ Maestro Juan Pablo Horcasitas. Proceeds go to earthquake relief",
"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.
|
Rabbi in Puerto Rico pleads for help as congregation suffers on #Science #PresidentTrump #HurricaneMaria #Rabbi
|
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": "Rabbi in Puerto Rico pleads for help as congregation suffers on #Science #PresidentTrump #HurricaneMaria #Rabbi",
"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.
|
Shout out 2 @Pitbull. Loved yr perform at #HitachiNEXT, but more for your extended help to #cancer patients 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": "Shout out 2 @Pitbull. Loved yr perform at #HitachiNEXT, but more for your extended help to #cancer patients 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.
|
@nytimes Meanwhile #Cuba offers aid to #PuertoRico - is this why the #US embassy there is being closed?
|
Cuba PuertoRico US embassy
|
[
{
"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": "@nytimes Meanwhile #Cuba offers aid to #PuertoRico - is this why the #US embassy there is being closed?",
"role": "user"
},
{
"content": "Cuba PuertoRico US embassy",
"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 @FischerGillian: I have donated to support people affected by Mexico September earthquake. Have you? via @conekt
|
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 @FischerGillian: I have donated to support people affected by Mexico September earthquake. Have you? via @conekt",
"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.
|
Puerto Rico in dire need of food, water 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": "Puerto Rico in dire need of food, water 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 @kahruveldesign: Plz do what you can. I gave to @Americares #HurricaneMaria Relief after reviewing charities @CharityNav #PuertoRico ht
|
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 @kahruveldesign: Plz do what you can. I gave to @Americares #HurricaneMaria Relief after reviewing charities @CharityNav #PuertoRico ht",
"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.
|
Where is the BEST place to donate money to #PuertoRicoRelief? Somewhere it 100% goes to #PR #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": "Where is the BEST place to donate money to #PuertoRicoRelief? Somewhere it 100% goes to #PR #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.
|
A #Police officer walks next to #HurricaneMaria damaged electrical installations in #Guayama, #PuertoRico. Photo by Carlos Garcia Rawlins.
|
Guayama 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 #Police officer walks next to #HurricaneMaria damaged electrical installations in #Guayama, #PuertoRico. Photo by Carlos Garcia Rawlins.",
"role": "user"
},
{
"content": "Guayama 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 @BonnieWeather: #supplies flying out tonight to help #puertorico #NYC #pix11 #news #hurricanemaria @ Long Island
|
Long Island NYC 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 @BonnieWeather: #supplies flying out tonight to help #puertorico #NYC #pix11 #news #hurricanemaria @ Long Island",
"role": "user"
},
{
"content": "Long Island NYC 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.
|
Instead of developing Mars, could Elon Musk please donate towards rebuilding 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": "Instead of developing Mars, could Elon Musk please donate towards rebuilding 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.
|
RT @elizondogabriel: Prime Minister of #Dominica @SkerritR addressing the nation now. His country destroyed from Hurricane Maria.
|
Dominica
|
[
{
"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 @elizondogabriel: Prime Minister of #Dominica @SkerritR addressing the nation now. His country destroyed from Hurricane Maria.",
"role": "user"
},
{
"content": "Dominica",
"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.
|
9 days after the #earthquake in #MexicoCity this adorable #dog was rescued. His name is Max & hes OK. So glad they found him! A6 #Mexico
|
Mexico MexicoCity
|
[
{
"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": "9 days after the #earthquake in #MexicoCity this adorable #dog was rescued. His name is Max & hes OK. So glad they found him! A6 #Mexico",
"role": "user"
},
{
"content": "Mexico MexicoCity",
"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 @MotorcyclistMag: Mexico City #motorcyclists ride together to provide aid after #earthquake. READ MORE: /
|
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 @MotorcyclistMag: Mexico City #motorcyclists ride together to provide aid after #earthquake. READ MORE: /",
"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 @NoradNorthcom: Our Canadian partners assisting us in delivering aid to #PuertoRico
|
Canadian 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 @NoradNorthcom: Our Canadian partners assisting us in delivering aid to #PuertoRico",
"role": "user"
},
{
"content": "Canadian 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.
|
Help Hurricane Maria Puerto Rico victims: Drop off needed supplies at HORC or donate to the American Red Cross through the Towns website.
|
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": "Help Hurricane Maria Puerto Rico victims: Drop off needed supplies at HORC or donate to the American Red Cross through the Towns website.",
"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.
|
REITs Aiding Recovery, Assessing Damage in Puerto Rico - More than one week after Hurricane Maria swept across
|
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": "REITs Aiding Recovery, Assessing Damage in Puerto Rico - More than one week after Hurricane Maria swept across",
"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.
|
Despite the widespread damage to Puerto Ricos infrastructure inflicted by Hurricane Maria, the federal
|
Puerto Ricos
|
[
{
"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": "Despite the widespread damage to Puerto Ricos infrastructure inflicted by Hurricane Maria, the federal",
"role": "user"
},
{
"content": "Puerto Ricos",
"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 @100ResCities: As volunteers and collected and dispersed supplies in Mexico City, parks and bicycles were lifelines. via @CityLab :
|
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 @100ResCities: As volunteers and collected and dispersed supplies in Mexico City, parks and bicycles were lifelines. via @CityLab :",
"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.
|
If you are in #DC, join us this Sunday as we run a 5K for #HurricaneMaria Recovery Fund. Register now
|
DC
|
[
{
"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": "If you are in #DC, join us this Sunday as we run a 5K for #HurricaneMaria Recovery Fund. Register now",
"role": "user"
},
{
"content": "DC",
"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.
|
Team Rubicon USA: Unites the skills and experiences of military veterans with first responders to rapidly deploy emergency response teams. #HurricaneMaria #PuertoRicoRelief
|
USA
|
[
{
"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": "Team Rubicon USA: Unites the skills and experiences of military veterans with first responders to rapidly deploy emergency response teams. #HurricaneMaria #PuertoRicoRelief",
"role": "user"
},
{
"content": "USA",
"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.
|
Join me in lending a helping hand to Puerto Rico by donating to The Hurricane Maria Community Relief & Recovery Fund
|
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": "Join me in lending a helping hand to Puerto Rico by donating to The Hurricane Maria Community Relief & Recovery Fund",
"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.
|
@realDonaldTrump Stop lying.Hurricane Marias death toll in Puerto Rico is higher than official count - Miami Herald
|
Miami 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": "@realDonaldTrump Stop lying.Hurricane Marias death toll in Puerto Rico is higher than official count - Miami Herald",
"role": "user"
},
{
"content": "Miami 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 @telesurenglish: Cuba sends doctors to help Mexicos earthquake victims
|
Cuba 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 @telesurenglish: Cuba sends doctors to help Mexicos earthquake victims",
"role": "user"
},
{
"content": "Cuba 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 @ERICSORENSEN: NWS Doppler radar in Puerto Rico, destroyed when Hurricane Maria came ashore. (On right: NWS Quad Cities Doppler.) :
|
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 @ERICSORENSEN: NWS Doppler radar in Puerto Rico, destroyed when Hurricane Maria came ashore. (On right: NWS Quad Cities Doppler.) :",
"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 @VivianFabiolaV: Just donated $50 to help the victims of the Mexico earthquake that left so many homeless. #YoXMxico
|
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 @VivianFabiolaV: Just donated $50 to help the victims of the Mexico earthquake that left so many homeless. #YoXMxico",
"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.
|
My pieces for sale at the Relief for Mexico fundraiser- 100% goes to earthquake relief in Mexico attending Relief for Mexico Fundraiser
|
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": "My pieces for sale at the Relief for Mexico fundraiser- 100% goes to earthquake relief in Mexico attending Relief for Mexico Fundraiser",
"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 @MikeElChingon: This is Frida, the Marina dog who saved 52 people after Mexicos earthquake. 1 RT = 1 pet
|
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": "RT @MikeElChingon: This is Frida, the Marina dog who saved 52 people after Mexicos earthquake. 1 RT = 1 pet",
"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.
|
This C-130 landed this evening with patients displaced by Hurricane Maria. Columbia is one of four NDMS areas of relief in the southeast
|
Columbia
|
[
{
"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": "This C-130 landed this evening with patients displaced by Hurricane Maria. Columbia is one of four NDMS areas of relief in the southeast",
"role": "user"
},
{
"content": "Columbia",
"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.
|
@JackieWoodson In Mexico our movie actors/directors are working and donating for the earthquake relief, PR has many singers! SOS!
|
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": "@JackieWoodson In Mexico our movie actors/directors are working and donating for the earthquake relief, PR has many singers! SOS!",
"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.
|
26 people dead, including 19 children, one of the many costs of the corruption in #Mexico. Will this ever end?
|
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": "26 people dead, including 19 children, one of the many costs of the corruption in #Mexico. Will this ever end?",
"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.
|
Dominica Severely Damaged From Hurricane Maria- Aerial Views: via @YouTube
|
Dominica
|
[
{
"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": "Dominica Severely Damaged From Hurricane Maria- Aerial Views: via @YouTube",
"role": "user"
},
{
"content": "Dominica",
"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.
|
@sexiirican86 Retweet: Items Needed: Non Perishable Food Womens Toiletries Soap Deodorant Clothes WATER!!! #PuertoRico #HurricaneMaria #Donate
|
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": "@sexiirican86 Retweet: Items Needed: Non Perishable Food Womens Toiletries Soap Deodorant Clothes WATER!!! #PuertoRico #HurricaneMaria #Donate",
"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.
|
#Mexicotequiero I Love Mexico - the proceeds from this pin Ive designed will assist earthquake aid and recovery:
|
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": "#Mexicotequiero I Love Mexico - the proceeds from this pin Ive designed will assist earthquake aid and recovery:",
"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.
|
Doctor sends supplies, medicine to #PuertoRico to help children who need health care after Hurricane #Maria.
|
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": "Doctor sends supplies, medicine to #PuertoRico to help children who need health care after Hurricane #Maria.",
"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.
|
Siblings Javier & Erica Lopez on why they were moved to start a donation drive to help the victims of #HurricaneMaria in #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": "Siblings Javier & Erica Lopez on why they were moved to start a donation drive to help the victims of #HurricaneMaria in #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.
|
RT @DailyMail: Incredible images emerge of a wheelchair-bound man who joined the earthquake clean-up in 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 @DailyMail: Incredible images emerge of a wheelchair-bound man who joined the earthquake clean-up in 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.
|
Anyone home @WhiteHouse? .Start dropping Rations, Fuel & Bottled Water over remote areas in #PuertoRico DAILY! American citizens are dying! Cc: @realDonaldTrump @potus @fema @USNavy @USArmy @usairforce @USNationalGuard @USCG @GOP @Scavino45
|
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": "Anyone home @WhiteHouse? .Start dropping Rations, Fuel & Bottled Water over remote areas in #PuertoRico DAILY! American citizens are dying! Cc: @realDonaldTrump @potus @fema @USNavy @USArmy @usairforce @USNationalGuard @USCG @GOP @Scavino45",
"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.
|
Death Toll in Mexico Quake Climbs to 358: The death toll from Mexicos Sept. 19 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": "Death Toll in Mexico Quake Climbs to 358: The death toll from Mexicos Sept. 19 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.
|
Hurricane Maria could actually cost Puerto Rico $95 Billion dollars. Donate here to help #piusnews
|
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 could actually cost Puerto Rico $95 Billion dollars. Donate here to help #piusnews",
"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 Rican mayor begs for aid after Hurricane Maria What does this do for image of US globally? bad enuf already
|
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": "Puerto Rican mayor begs for aid after Hurricane Maria What does this do for image of US globally? bad enuf already",
"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.
|
#NOAA Interactive #map shows #PuertoRico damage by #Hurricane #Maria #climatechange #maps #geography #GIS #Huracan
|
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": "#NOAA Interactive #map shows #PuertoRico damage by #Hurricane #Maria #climatechange #maps #geography #GIS #Huracan",
"role": "user"
},
{
"content": "PuertoRico",
"role": "assistant"
}
] |
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