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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.
|
#TEAMRIGO AKA #teamRocket stricks again doing some community work with my 2 AOY candidates. Helping our fellow brothers in mexico earthquake
|
mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "#TEAMRIGO AKA #teamRocket stricks again doing some community work with my 2 AOY candidates. Helping our fellow brothers in mexico earthquake",
"role": "user"
},
{
"content": "mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Rihanna Begs Donald Trump Not To Let Puerto Ricans Die: They Have No Food & Water #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": "Rihanna Begs Donald Trump Not To Let Puerto Ricans Die: They Have No Food & Water #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 @NathanielParish: If you are looking to donate to help MX after quake-- take a look at this.
|
MX
|
[
{
"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 @NathanielParish: If you are looking to donate to help MX after quake-- take a look at this.",
"role": "user"
},
{
"content": "MX",
"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 @MaryKateClark: #ICYMI #PuertoRico Mayor pleads for help after Maria: People are dying in San Juan People are starting to die htt
|
PuertoRico 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": "RT @MaryKateClark: #ICYMI #PuertoRico Mayor pleads for help after Maria: People are dying in San Juan People are starting to die htt",
"role": "user"
},
{
"content": "PuertoRico 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.
|
The island of Dominica 92 was devastated by Hurricane Maria. There is very little press coverage. Please help them:
|
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": "The island of Dominica 92 was devastated by Hurricane Maria. There is very little press coverage. Please help them:",
"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 @CBSNews: Marc Anthony and Jennifer Lopez are raising money for victims of hurricanes and the recent 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": "RT @CBSNews: Marc Anthony and Jennifer Lopez are raising money for victims of hurricanes and the recent 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.
|
.@SecretaryPerry can @ENERGY partner with @elonmusk @solarcity & other providers to get solar panels to #PuertoRico after #HurricaneIrma ???
|
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": ".@SecretaryPerry can @ENERGY partner with @elonmusk @solarcity & other providers to get solar panels to #PuertoRico after #HurricaneIrma ???",
"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.
|
President Trump waives cargo restrictions to speed aid to Puerto Rico after Hurricane Maria destroyed island
|
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": "President Trump waives cargo restrictions to speed aid to Puerto Rico after Hurricane Maria destroyed island",
"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.
|
#FuerzaMxico These Organizations Are Working To Help With Earthquake Recovery In Mexico via @forbes
|
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": "#FuerzaMxico These Organizations Are Working To Help With Earthquake Recovery In Mexico via @forbes",
"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.
|
All @Sprint4FL locations are accepting donations for #PuertoRico to help with Hurricane Maria recovery efforts. Please consider donating
|
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": "All @Sprint4FL locations are accepting donations for #PuertoRico to help with Hurricane Maria recovery efforts. Please consider donating",
"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 @shoshido: Just FYI, @IsraAID is in Puerto Rico distributing water filters and assessing acute needs. If so moved, donate here. /
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @shoshido: Just FYI, @IsraAID is in Puerto Rico distributing water filters and assessing acute needs. If so moved, donate here. /",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @Eater: In Mexico City, restaurant kitchens turn into relief centers
|
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 @Eater: In Mexico City, restaurant kitchens turn into relief centers",
"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 @FELDYPT: As Hurricane Maria smashed into #PuertoRico, the Virgin Islands are hit like WAR.. Donate now @americares
|
PuertoRico 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": "RT @FELDYPT: As Hurricane Maria smashed into #PuertoRico, the Virgin Islands are hit like WAR.. Donate now @americares",
"role": "user"
},
{
"content": "PuertoRico 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.
|
Goya Prez Bob Unanue says, GOYA IS ON ITS FEET: LETS REBUILD PUERTO RICO! 57 #goyagives #hurricanemaria Read
|
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": "Goya Prez Bob Unanue says, GOYA IS ON ITS FEET: LETS REBUILD PUERTO RICO! 57 #goyagives #hurricanemaria Read",
"role": "user"
},
{
"content": "PUERTO RICO",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
DONATE TODAY! @Foundation_PR established a Relief Fund for #PuertoRico #HurricaneMaria visit and help us rebuild PR.
|
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": "DONATE TODAY! @Foundation_PR established a Relief Fund for #PuertoRico #HurricaneMaria visit and help us rebuild PR.",
"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 @NanaOseiAnthony: @USNavy anchored @PuertoRico delivering humanitarian service with ship loads of supplies to ease difficulties #Hurrica
|
@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 @NanaOseiAnthony: @USNavy anchored @PuertoRico delivering humanitarian service with ship loads of supplies to ease difficulties #Hurrica",
"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.
|
Bills Donuts is collecting items for the victims of Hurricane Maria in Puerto Rico until Oct. 3.
|
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": "Bills Donuts is collecting items for the victims of Hurricane Maria in Puerto Rico until Oct. 3.",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
We should help Puerto Ricans not because they are US citizens but simply because they are people in need #hurricanemaria
|
Puerto Ricans
|
[
{
"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 should help Puerto Ricans not because they are US citizens but simply because they are people in need #hurricanemaria",
"role": "user"
},
{
"content": "Puerto Ricans",
"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 @NBCNightlyNews: Maria, downgraded to a tropical storm again, is beginning to accelerate away from the US, NHC says.
|
US
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @NBCNightlyNews: Maria, downgraded to a tropical storm again, is beginning to accelerate away from the US, NHC says.",
"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.
|
these are #Americans #uscitizens 10,000 of themthey need help! please watch and retweet. #HurricaneMaria #PuertoRico #Vieques
|
PuertoRico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "these are #Americans #uscitizens 10,000 of themthey need help! please watch and retweet. #HurricaneMaria #PuertoRico #Vieques",
"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.
|
BREAKING: After many canceled flights, PETA Rescue Team heads to #PuertoRico to help animals after #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": "BREAKING: After many canceled flights, PETA Rescue Team heads to #PuertoRico to help animals after #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.
|
#coffeeforacause(2/3): affected by Hurricane Maria in Puerto Rico and the Caribbean. For every bag of coffee you buy, we donate $2#MariaPR
|
Caribbean 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": "#coffeeforacause(2/3): affected by Hurricane Maria in Puerto Rico and the Caribbean. For every bag of coffee you buy, we donate $2#MariaPR",
"role": "user"
},
{
"content": "Caribbean 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.
|
National Lawyers Guild: Hurricane Maria in Puerto Rico: Cancel the debt & emergency relief now
|
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": "National Lawyers Guild: Hurricane Maria in Puerto Rico: Cancel the debt & emergency relief now",
"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.
|
@rihanna @realDonaldTrump He declared a State of Emergency for Puerto Rico before Maria even hit.
|
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": "@rihanna @realDonaldTrump He declared a State of Emergency for Puerto Rico before Maria even hit.",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Hurricane Irma, Maria Update: Turks and Caicos Properties Reopen, More #MANDATORY #EVACUATION The 189-room LaPlaya
|
Turks and Caicos
|
[
{
"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 Irma, Maria Update: Turks and Caicos Properties Reopen, More #MANDATORY #EVACUATION The 189-room LaPlaya",
"role": "user"
},
{
"content": "Turks and Caicos",
"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.
|
Israeli earthquake rescue team heads home saying their mission in #Mexico has ended. @cgtnamerica
|
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": "Israeli earthquake rescue team heads home saying their mission in #Mexico has ended. @cgtnamerica",
"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 @AdriFonsecaC: It was a Mexico City office building. Now, after the earthquake, its a tomb - LA Times
|
LA 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 @AdriFonsecaC: It was a Mexico City office building. Now, after the earthquake, its a tomb - LA Times",
"role": "user"
},
{
"content": "LA 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.
|
More Climate Change Collateral Damage: Hurricane Maria Takes Out Dominica 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": "More Climate Change Collateral Damage: Hurricane Maria Takes Out Dominica 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.
|
OneBlood actively sending blood to #PuertoRico to assist with #HurricaneMaria relief.
|
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": "OneBlood actively sending blood to #PuertoRico to assist with #HurricaneMaria relief.",
"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.
|
For more information on how to donate to #PuertoRico & entire Caribbean, visit: #PuertoRicoRelief #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": "For more information on how to donate to #PuertoRico & entire Caribbean, visit: #PuertoRicoRelief #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.
|
Agents with U.S. Border Patrol Search, Trauma, and Rescue (BORSTAR)conducting humanitarian missions in Puerto Rico following #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": "Agents with U.S. Border Patrol Search, Trauma, and Rescue (BORSTAR)conducting humanitarian missions in Puerto Rico following #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.
|
South Floridians Provide Aid After Mexico Earthquake
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "South Floridians Provide Aid After Mexico Earthquake",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
In Mexico City, this Jewish NGO is the go-to agency for earthquake relief
|
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": "In Mexico City, this Jewish NGO is the go-to agency for earthquake relief",
"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.
|
After nearly 300 dead, #Israeli search&rescue teams use #technology to find trapped civilians in #Mexico #earthquake
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "After nearly 300 dead, #Israeli search&rescue teams use #technology to find trapped civilians in #Mexico #earthquake",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Stay up to date on the damage assessments from #Caribbean resorts as they release information: #HurricaneMaria
|
Caribbean
|
[
{
"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": "Stay up to date on the damage assessments from #Caribbean resorts as they release information: #HurricaneMaria",
"role": "user"
},
{
"content": "Caribbean",
"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.
|
Department of Homeland Security Update on Hurricane Maria Recovery Efforts #politics #trump #usa #news #breaking
|
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": "Department of Homeland Security Update on Hurricane Maria Recovery Efforts #politics #trump #usa #news #breaking",
"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.
|
Wrath of #HurricaneMaria has left our fellow Americans in #PuertoRico w/o resources. But help is on the way as relief & recovery continues.
|
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": "Wrath of #HurricaneMaria has left our fellow Americans in #PuertoRico w/o resources. But help is on the way as relief & recovery continues.",
"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 @CanadaMoments: Proceeds from @KimKardashian Wests stunning @VogueMexico cover will benefit earthquake relief across Mexico. .
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @CanadaMoments: Proceeds from @KimKardashian Wests stunning @VogueMexico cover will benefit earthquake relief across 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.
|
Hurricane Maria: Facebook donates $1.5million to Puerto Rico among other relief 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": "Hurricane Maria: Facebook donates $1.5million to Puerto Rico among other relief 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.
|
RT @IMSUAlbany: The LACS department will be taking donations to help the those affected by hurricane Maria in Puerto Rico and the :
|
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 @IMSUAlbany: The LACS department will be taking donations to help the those affected by hurricane Maria in Puerto Rico and the :",
"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 @Rather_Unique10: My friend needs our help finding her father. Please see details below #PuertoRico #PR #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 @Rather_Unique10: My friend needs our help finding her father. Please see details below #PuertoRico #PR #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.
|
PA will help Puerto Rico in whatever way we can. I encourage all PAians who are able to donate to #Maria relief.
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "PA will help Puerto Rico in whatever way we can. I encourage all PAians who are able to donate to #Maria relief.",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @TheCut: How to volunteer and donate supplies, blood, and money to #PuertoRico after #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 @TheCut: How to volunteer and donate supplies, blood, and money to #PuertoRico after #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.
|
Tequila & Mezcal fest will donate a percentage of ticket sales to the Mexican earthquake relief effort. #UK #Mexico
|
Mexico UK
|
[
{
"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": "Tequila & Mezcal fest will donate a percentage of ticket sales to the Mexican earthquake relief effort. #UK #Mexico",
"role": "user"
},
{
"content": "Mexico UK",
"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 @Rotary: #Rotary clubs in Mexico are working together to provide supplies 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 @Rotary: #Rotary clubs in Mexico are working together to provide supplies 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.
|
Investee, Natural Ventures PR, LLC facility in Puerto Rico sustained some damage due to 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": "Investee, Natural Ventures PR, LLC facility in Puerto Rico sustained some damage due to 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.
|
Afrtermath Earthquake mexican cyclists were heroes of Mexico City they transport help to victims ands rescue teams
|
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": "Afrtermath Earthquake mexican cyclists were heroes of Mexico City they transport help to victims ands rescue teams",
"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.
|
New Jersey Sen. Bob Menendez is leading a trip to survey the damage from Hurricane Maria in Puerto Rico.
|
New Jersey 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": "New Jersey Sen. Bob Menendez is leading a trip to survey the damage from Hurricane Maria in Puerto Rico.",
"role": "user"
},
{
"content": "New Jersey 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.
|
HCC Online Newsroom: HCC Offering In-State Tuition Rate to Puerto Rican Students Displaced by Hurricane Maria
|
Tuition
|
[
{
"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": "HCC Online Newsroom: HCC Offering In-State Tuition Rate to Puerto Rican Students Displaced by Hurricane Maria",
"role": "user"
},
{
"content": "Tuition",
"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 fianc is home safely! Theres many who still desperately need help in Dominica though! #DontForgetDominica #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": "My fianc is home safely! Theres many who still desperately need help in Dominica though! #DontForgetDominica #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.
|
United New Bedford seeking volunteers to help with its ongoing relief efforts for the people in Puerto Rico devastated 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": "United New Bedford seeking volunteers to help with its ongoing relief efforts for the people in Puerto Rico devastated 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.
|
Urge your reps to join @RepJerryNadler in trying to send the help that 3.4 million Americans in PR need. #helppuertoriconow
|
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": "Urge your reps to join @RepJerryNadler in trying to send the help that 3.4 million Americans in PR need. #helppuertoriconow",
"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.
|
Congrats @HyattZivaCancun for donating bedding, sheets & bathrobes to @BomberosCancun to help people affected by recent 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": "Congrats @HyattZivaCancun for donating bedding, sheets & bathrobes to @BomberosCancun to help people affected by recent 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.
|
#HurricaneMaria #puertorico death toll is higher than official count, experts say @cpipr @MiamiHerald
|
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 #puertorico death toll is higher than official count, experts say @cpipr @MiamiHerald",
"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.
|
WSBTV reports NEW AT 5: Were getting a new look at some of the damage in Puerto Rico from Hurricane Maria. Why it
|
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": "WSBTV reports NEW AT 5: Were getting a new look at some of the damage in Puerto Rico from Hurricane Maria. Why it",
"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.
|
A message from @fatjoe. Please help our brothers and sisters in #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": "A message from @fatjoe. Please help our brothers and sisters in #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.
|
BPS prepare for influx of Puerto Rican families after Hurricane Maria maria/K67mo2RXb8YZq4TcXJhYLP/story.html
|
Puerto Rican
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "BPS prepare for influx of Puerto Rican families after Hurricane Maria maria/K67mo2RXb8YZq4TcXJhYLP/story.html",
"role": "user"
},
{
"content": "Puerto Rican",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
We donated 83,500 to @RedCross to help families affected by the #MexicoEarthquake, and our employees in Mexico are lending a helping hand.
|
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": "We donated 83,500 to @RedCross to help families affected by the #MexicoEarthquake, and our employees in Mexico are lending a helping hand.",
"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.
|
#WV3 and #WV2 were used for damage assessment in Cuernavaca after the #earthquake in #Mexico:
|
Cuernavaca 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": "#WV3 and #WV2 were used for damage assessment in Cuernavaca after the #earthquake in #Mexico:",
"role": "user"
},
{
"content": "Cuernavaca 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.
|
ICYMI: Villanova students from Puerto Rico are raising money for those 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": "ICYMI: Villanova students from Puerto Rico are raising money for those 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.
|
Extreme wind damage example from #HurricaneMaria @ Humacao, #PuertoRico (elev 220ft) - Palm tree *ripped*, *flew* & stuck on wires. Cat-4/5:
|
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": "Extreme wind damage example from #HurricaneMaria @ Humacao, #PuertoRico (elev 220ft) - Palm tree *ripped*, *flew* & stuck on wires. Cat-4/5:",
"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.
|
Kim on the cover of @VogueMexicos #VogueBelleza Issue Proceeds of the magazine sales will be going to @ProjectPaz Mexico 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": "Kim on the cover of @VogueMexicos #VogueBelleza Issue Proceeds of the magazine sales will be going to @ProjectPaz Mexico 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.
|
Tidal to Send 200,000 Pounds of Supplies to Hurricane-Stricken Puerto Rico In the wake of Hurricane Maria, which
|
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": "Tidal to Send 200,000 Pounds of Supplies to Hurricane-Stricken Puerto Rico In the wake of Hurricane Maria, which",
"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.
|
Sen. Robert Menendez will travel to Puerto Rico on Friday to survey the massive damage caused 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": "Sen. Robert Menendez will travel to Puerto Rico on Friday to survey the massive damage caused 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.
|
These #sailors and others doing an outstanding job! We just need more like them to help #PuertoRico. #GONAVY!
|
PuertoRico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "These #sailors and others doing an outstanding job! We just need more like them to help #PuertoRico. #GONAVY!",
"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.
|
150 Red Crossers ready to board JetBlue to San Juan, Puerto Rico for Hurricane Maria relief -- go team go! #VolunteersRock #RedCrossProud
|
Puerto Rico 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": "150 Red Crossers ready to board JetBlue to San Juan, Puerto Rico for Hurricane Maria relief -- go team go! #VolunteersRock #RedCrossProud",
"role": "user"
},
{
"content": "Puerto Rico San Juan",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @TownofWNY: WNY Collection for Victims of Hurricane Maria: Drop-off donations at Health Dept in Town Hall or at EMS, 580 66th St
|
580 66th 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": "RT @TownofWNY: WNY Collection for Victims of Hurricane Maria: Drop-off donations at Health Dept in Town Hall or at EMS, 580 66th St",
"role": "user"
},
{
"content": "580 66th 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.
|
Tell@SpeakerRyan andCongress to step up and extend relief forPuertoRico until the island recovers! via @ColorOfChange
|
forPuertoRico
|
[
{
"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": "Tell@SpeakerRyan andCongress to step up and extend relief forPuertoRico until the island recovers! via @ColorOfChange",
"role": "user"
},
{
"content": "forPuertoRico",
"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 @SugarAndMusk: (MEXICO) Mexican Catholic Volunteers beaten, raped & shot trying 2 deliver aid 2 earthquake victims Sept 28, 2017/ http
|
MEXICO
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @SugarAndMusk: (MEXICO) Mexican Catholic Volunteers beaten, raped & shot trying 2 deliver aid 2 earthquake victims Sept 28, 2017/ http",
"role": "user"
},
{
"content": "MEXICO",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Just off phone w a friend in Puerto Rico. She tells me news are not talking about suicides and all the other deaths #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": "Just off phone w a friend in Puerto Rico. She tells me news are not talking about suicides and all the other deaths #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 caribnewsnow: Agriculture sector in Dominica destroyed by Hurricane Maria #VOCRadio
|
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 caribnewsnow: Agriculture sector in Dominica destroyed by Hurricane Maria #VOCRadio",
"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.
|
The things Ive seen in San Juan in the last week are distressing and surreal. We need help. #HurricaneMaria #PuertoRicoSeLevanta 57
|
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": "The things Ive seen in San Juan in the last week are distressing and surreal. We need help. #HurricaneMaria #PuertoRicoSeLevanta 57",
"role": "user"
},
{
"content": "San Juan",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @luisferre: From damaged hospitals to long pharmacy lines, the precarious health situation in Puerto Rico after #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 @luisferre: From damaged hospitals to long pharmacy lines, the precarious health situation in Puerto Rico after #Maria:",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
The American #maritime industry is responding in a big way to help #PuertoRico after #HurricaneMaria @AMPmaritime
|
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": "The American #maritime industry is responding in a big way to help #PuertoRico after #HurricaneMaria @AMPmaritime",
"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 @JosePedroFerrao: Earthquake Recovery Fund to support communities recently affected across Mexico.
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @JosePedroFerrao: Earthquake Recovery Fund to support communities recently affected across 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.
|
Babies in #PuertoRico also need our help! #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": "Babies in #PuertoRico also need our help! #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.
|
@FoxNews This is simply taking advantage of a situation few Americans know anything about. PR is destroyed!!!
|
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": "@FoxNews This is simply taking advantage of a situation few Americans know anything about. PR is destroyed!!!",
"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.
|
HCC offers in-state tuition to Puerto Rican students displaced by Hurricane Maria
|
Puerto Rican
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "HCC offers in-state tuition to Puerto Rican students displaced by Hurricane Maria",
"role": "user"
},
{
"content": "Puerto Rican",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
NAF Atsugi American Red Cross Station is sending four volunteers to Puerto Rico to assist with Hurricane Maria disaster relief. #RedCross
|
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": "NAF Atsugi American Red Cross Station is sending four volunteers to Puerto Rico to assist with Hurricane Maria disaster relief. #RedCross",
"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.
|
Agriculture sector in Dominica destroyed by Hurricane Maria #news
|
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": "Agriculture sector in Dominica destroyed by Hurricane Maria #news",
"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 @WeTheOutraged: No Water, No Power: 21 Photos of Puerto Ricos Isolation: Its been over a week since Hurricane Maria made lan..
|
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 @WeTheOutraged: No Water, No Power: 21 Photos of Puerto Ricos Isolation: Its been over a week since Hurricane Maria made lan..",
"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.
|
MI GENTE FEATURING BEYONC To help hurricane & earthquake charities to Puerto Rico Mexico and other affected Go to
|
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": "MI GENTE FEATURING BEYONC To help hurricane & earthquake charities to Puerto Rico Mexico and other affected Go to",
"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.
|
PR not ignored. Our Navy, USMC, USCG Southeast, Army have been loading/unloading supplies since 20 Sep! #PuertoRicoRelief #PuertoRicoStrong
|
PuertoRicoRelief PuertoRicoStrong
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "PR not ignored. Our Navy, USMC, USCG Southeast, Army have been loading/unloading supplies since 20 Sep! #PuertoRicoRelief #PuertoRicoStrong",
"role": "user"
},
{
"content": "PuertoRicoRelief PuertoRicoStrong",
"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.
|
#Longmonts Oskar Blues, Frontier Airlines to ship water to Puerto Rico after Hurricane Maria via @johnbearwithme
|
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": "#Longmonts Oskar Blues, Frontier Airlines to ship water to Puerto Rico after Hurricane Maria via @johnbearwithme",
"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 @kokomoband: Run Golden Boys are raising money to help the victims of the recent earthquake in Mexico. You can support them /
|
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 @kokomoband: Run Golden Boys are raising money to help the victims of the recent earthquake in Mexico. You can support them /",
"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 @Pray_for_Sound: Our friends in Run Golden Boys are raising money aid those impacted by the earthquake in Mexico City. All
|
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 @Pray_for_Sound: Our friends in Run Golden Boys are raising money aid those impacted by the earthquake in Mexico City. All",
"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 @rrritualzzz: new track out now: - buy the full album to help victims of the 09/19 earthquake in central mexico
|
mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @rrritualzzz: new track out now: - buy the full album to help victims of the 09/19 earthquake in central 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.
|
#Mexico Mexican Rescue Dog Frida Became Symbol of Earthquake Hope por THE ASSOCIATED PRESS via NYT
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "#Mexico Mexican Rescue Dog Frida Became Symbol of Earthquake Hope por THE ASSOCIATED PRESS via NYT",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
People whose homes were seriously damaged by the Sept.19 earthquake, remain at an improvised street shelter, in Mexico City on Sept.28 #AFP
|
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": "People whose homes were seriously damaged by the Sept.19 earthquake, remain at an improvised street shelter, in Mexico City on Sept.28 #AFP",
"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 @maduro_en: RT @VTVcanal8: Mexico is grateful for humanitarian aid from Venezuela after earthquake.
|
Mexico Venezuela
|
[
{
"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 @maduro_en: RT @VTVcanal8: Mexico is grateful for humanitarian aid from Venezuela after earthquake.",
"role": "user"
},
{
"content": "Mexico Venezuela",
"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: Rescue teams in Mexico lead last ongoing search operation to find 20 bodies in aftermath of devastating earthquake /
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @AFP: Rescue teams in Mexico lead last ongoing search operation to find 20 bodies in aftermath of devastating 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.
|
I just signed the campaign: Grant Immediate Emergency Aid to Puerto Rico & Eliminate Cost-Sharing for FEMA Aid.
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "I just signed the campaign: Grant Immediate Emergency Aid to Puerto Rico & Eliminate Cost-Sharing for FEMA Aid.",
"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.
|
To Fight Hepatitis Outbreak, Semillas Fundraises Thousands For Mexico 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": "To Fight Hepatitis Outbreak, Semillas Fundraises Thousands For Mexico 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.
|
RT @mj_majorie: Helping the earthquake victims in Ixtepec, Oaxaca, Mexico via @youcaring
|
Ixtepec Mexico Oaxaca
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @mj_majorie: Helping the earthquake victims in Ixtepec, Oaxaca, Mexico via @youcaring",
"role": "user"
},
{
"content": "Ixtepec Mexico Oaxaca",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Detroit families traveling to Puerto Rico after Hurricane Maria devastates island
|
Detroit 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": "Detroit families traveling to Puerto Rico after Hurricane Maria devastates island",
"role": "user"
},
{
"content": "Detroit 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 @SPACEdotcom: NASA Tech Is Helping Find Mexico Earthquake Victims Buried in Rubble
|
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 @SPACEdotcom: NASA Tech Is Helping Find Mexico Earthquake Victims Buried in Rubble",
"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.
|
New story on NPR: Mexico City Trying To Return To Normal After Earthquakes Destruction
|
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": "New story on NPR: Mexico City Trying To Return To Normal After Earthquakes Destruction",
"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.
|
My 80s girl! Spirit week fundraiser for #hurricanemaria #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": "My 80s girl! Spirit week fundraiser for #hurricanemaria #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.
|
Residents of San Juan, P.R., this week. Many have been without electricity and water since Hurricane Maria
|
P.R. 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": "Residents of San Juan, P.R., this week. Many have been without electricity and water since Hurricane Maria",
"role": "user"
},
{
"content": "P.R. San Juan",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @seashepherd: Yesterday the M/V John Paul DeJoria offloaded its first shipment to the Red Cross in Dominica. #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": "RT @seashepherd: Yesterday the M/V John Paul DeJoria offloaded its first shipment to the Red Cross in Dominica. #HurricaneMaria",
"role": "user"
},
{
"content": "Dominica",
"role": "assistant"
}
] |
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