Sentence-level Relation Extraction
Sentence-Level Relation Extraction is a relation extraction task that identifies and classifies semantic relations between named entities within individual sentences, distinguishing it from document-level or cross-sentence approaches by focusing exclusively on intra-sentential linguistic context.
286
Publications
25.6K
Citations
868
Authors
259
Institutions
Publications per year
2017–2026
186
Parents
286
Relation Classification via Convolutional Deep Neural Network
Daojian Zeng, Kang Liu, Siwei Lai et al. · 2014 · 1.4K citations
Neural Relation Extraction with Selective Attention over Instances
Yankai Lin, Shiqi Shen, Zhiyuan Liu et al. · 2016 · 1.1K citations · Full text
Dependency tree kernels for relation extraction
Aron Culotta, Jeffrey Sorensen · 2004 · 831 citations · Full text
1–5 of 286
868
7
h-index
6
h-index
6
h-index
5
h-index
5
h-index
1–5 of 868
259

Chinese Academy of Sciences
Beijing, China
13 h-index
48 publications
12.2K citations
University of Chinese Academy of Sciences
Beijing, China
10 h-index
30 publications
3.9K citations
Tsinghua University
Beijing, China
9 h-index
31 publications
8.1K citations
University of Illinois Urbana-Champaign
Urbana, United States
8 h-index
17 publications
1.8K citations

Peking University
Beijing, China
7 h-index
23 publications
5.1K citations

Beijing University of Posts and Telecommunications
Beijing, China
7 h-index
17 publications
1.4K citations

Soochow University
Suzhou, China
7 h-index
19 publications
996 citations
California Southern University
Chandler, United States
6 h-index
11 publications
459 citations
1–8 of 259
Repository · 32 publications · 1.8K citations
20
h-index
Conference · 17 publications · 1.3K citations
15
h-index
6 publications · 150 citations
6
h-index
7 publications · 206 citations
6
h-index
5 publications · 163 citations
5
h-index
1–5