Spatial Event Extraction
Spatial Event Extraction is a geospatial natural language processing task that identifies and classifies event occurrences from unstructured text by explicitly recognizing their spatial and temporal attributes, distinguishing it from general event extraction through its focus on geographically grounded events.
82
Publications
4.5K
Citations
256
Authors
123
Institutions
Publications per year
2017–2026
31
82
TEDAS: A Twitter-based Event Detection and Analysis System
Rui Li, Kin Hou Lei, Ravi Khadiwala et al. · 2012 · 451 citations
Hamed Abdelhaq, Christian Sengstock, Michael Gertz · Proceedings of the VLDB Endowment · 2013 · 256 citations
Kazufumi Watanabe, Masanao Ochi, Makoto Okabe et al. · 2011 · 182 citations
1–5 of 82
256
4
h-index
2
h-index
University of Maryland, College Park, United States
2 publications · 26 citations
2
h-index
2
h-index
2
h-index
1–5 of 256
123
Heidelberg University
Heidelberg, Germany
4 h-index
8 publications
918 citations
University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
15 publications
2.9K citations
Fraunhofer Institute for Intelligent Analysis and Information Systems
Sankt Augustin, Germany
3 h-index
7 publications
629 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
3 publications
41 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
5 publications
74 citations
University of Maryland, College Park
College Park, United States
2 h-index
8 publications
104 citations
University of California, Berkeley
Berkeley, United States
2 h-index
4 publications
118 citations
Virginia Tech
Blacksburg, United States
2 h-index
6 publications
302 citations
1–8 of 123
IJGI · 3 publications · 96 citations
3
h-index
TKDE · 2 publications · 37 citations
2
h-index
PVLDB · 2 publications · 299 citations
2
h-index
IJAHUC · 2 publications · 25 citations
2
h-index
TIST · 2 publications · 107 citations
2
h-index
1–5