Semantic Relation Extraction
Semantic Relation Extraction is a computational task within natural language processing that identifies and classifies semantic relationships between entities or phrases in text, distinguishing it from syntactic analysis by focusing on meaning-based associations rather than grammatical structure.
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Institutions
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2017–2026
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Fabian M. Suchanek, Gjergji Kasneci, Gerhard Weikum · 2007 · 3.9K citations · Full text
Distant supervision for relation extraction without labeled data
Mike D. Mintz, Steven Bills, Rion Snow et al. · 2009 · 2.9K citations · Full text
Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification
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Tsinghua University
Beijing, China
27 h-index
146 publications
22.4K citations
University of Illinois Urbana-Champaign
Urbana, United States
22 h-index
68 publications
3.8K citations
University of Washington
Seattle, United States
20 h-index
58 publications
10.2K citations

Chinese Academy of Sciences
Beijing, China
19 h-index
88 publications
5K citations
University of Chinese Academy of Sciences
Beijing, China
16 h-index
65 publications
2.7K citations
Stanford University
Stanford, United States
14 h-index
48 publications
16.6K citations

Peking University
Beijing, China
14 h-index
52 publications
4.9K citations
Tencent (China)
Shenzhen, China
13 h-index
32 publications
4K citations
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Repository · 57 publications · 2.3K citations
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