[PDF][PDF] Using social media to enhance emergency situation awareness
Enabling situation awareness in a given environment thus relies on being able to identify an
appropriate set of perception elements, coupled with higher-level comprehension patterns …
appropriate set of perception elements, coupled with higher-level comprehension patterns …
When a disaster happens, we are ready: Location mention recognition from crisis tweets
Geolocation information is important for humanitarian organizations to gain situational
awareness and deliver timely aid during disasters. Towards addressing the problem of …
awareness and deliver timely aid during disasters. Towards addressing the problem of …
[HTML][HTML] Nowcasting earthquake damages with Twitter
Abstract The Modified Mercalli intensity scale (Mercalli scale for short) is a qualitative
measure used to express the perceived intensity of an earthquake in terms of damages …
measure used to express the perceived intensity of an earthquake in terms of damages …
Location name extraction from targeted text streams using gazetteer-based statistical language models
Extracting location names from informal and unstructured social media data requires the
identification of referent boundaries and partitioning compound names. Variability …
identification of referent boundaries and partitioning compound names. Variability …
[HTML][HTML] A quantitative analysis of global gazetteers: Patterns of coverage for common feature types
Gazetteers are important tools used in a wide variety of workflows that depend on linking
natural language text to geographical space. The spatial properties of these data sources …
natural language text to geographical space. The spatial properties of these data sources …
Joint recognition and linking of fine-grained locations from tweets
Many users casually reveal their locations such as restaurants, landmarks, and shops in
their tweets. Recognizing such fine-grained locations from tweets and then linking the …
their tweets. Recognizing such fine-grained locations from tweets and then linking the …
[HTML][HTML] DLRGeoTweet: A comprehensive social media geocoding corpus featuring fine-grained places
Every day, many short text messages on social media are generated in response to real-
world events, providing a valuable resource for various domains such as emergency …
world events, providing a valuable resource for various domains such as emergency …
Are we ready for this disaster? Towards location mention recognition from crisis tweets
The widespread usage of Twitter during emergencies has provided a new opportunity and
timely resource to crisis responders for various disaster management tasks. Geolocation …
timely resource to crisis responders for various disaster management tasks. Geolocation …
Domain-Independent detection of emergency situations based on social activity related to geolocations
In general, existing methods for automatically detecting emergency situations using Twitter
rely on features based on domain-specific keywords found in messages. This type of …
rely on features based on domain-specific keywords found in messages. This type of …
Development and evaluation of a geographic information retrieval system using fine grained toponyms
Geographic information retrieval (GIR) is concerned with returning information in response
to an information need, typically expressed in terms of a thematic and spatial component …
to an information need, typically expressed in terms of a thematic and spatial component …