Location-aware Information Extraction
Location-Aware Information Extraction is an information extraction framework that specifically integrates geographic context to identify, disambiguate, and link location references within natural language text, distinguishing it from general extraction methods by its explicit spatial awareness and grounding capabilities.
134
Publications
7.8K
Citations
433
Authors
168
Institutions
Publications per year
2017–2026
48
134
Hamed Abdelhaq, Christian Sengstock, Michael Gertz · Proceedings of the VLDB Endowment · 2013 · 256 citations
Extracting places from traces of locations
Jong Hee Kang, William Welbourne, Benjamin Stewart et al. · 2004 · 234 citations
Computing, Information Technology, Geographic Information Science +12
1–5 of 134
433
4
h-index
3
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3
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3
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Commonwealth Scientific and Industrial Research Organisation, Australia
2 publications · 155 citations
2
h-index
1–5 of 433
168
Microsoft Research Asia (China)
Beijing, China
5 h-index
15 publications
4.4K citations
Arizona State University
Tempe, United States
4 h-index
9 publications
326 citations
Stanford University
Stanford, United States
4 h-index
9 publications
1.2K citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
7 publications
184 citations
Wuhan University
Wuhan, China
3 h-index
6 publications
194 citations
Universidade Federal de Minas Gerais
Belo Horizonte, Brazil
3 h-index
10 publications
965 citations
Texas A&M University
College Station, United States
3 h-index
10 publications
316 citations
University of Washington
Seattle, United States
3 h-index
10 publications
1.7K citations
1–8 of 168
3 publications · 96 citations
3
h-index
3 publications · 228 citations
3
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3 publications · 66 citations
3
h-index
2 publications · 38 citations
2
h-index
2 publications · 24 citations
2
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1–5