Joint Entity Extraction
Joint Entity Extraction is a method in information extraction that simultaneously identifies named entities and their semantic relationships within text, distinguishing itself from pipelined approaches by modeling entity and relation prediction as interdependent tasks within a unified framework.
227
Publications
17.6K
Citations
818
Authors
267
Institutions
Publications per year
2017–2026
184
Variants
Joint Entity And Relation Extraction
227
Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme
Suncong Zheng, Feng Wang, Hongyun Bao et al. · 2017 · 749 citations · Full text
Multi-instance Multi-label Learning for Relation Extraction
Mihai Surdeanu, Julie Tibshirani, Ramesh Nallapati et al. · 2012 · 683 citations
Structured information extraction from scientific text with large language models
John Dagdelen, Alexander Dunn, Sang‐Hoon Lee et al. · Nature Communications · 2024 · 586 citations · Full text
Incremental Joint Extraction of Entity Mentions and Relations
Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism
Xiangrong Zeng, Daojian Zeng, Shizhu He et al. · 2018 · 532 citations · Full text
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818
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267
Tsinghua University
Beijing, China
12 h-index
32 publications
1.7K citations
University of Illinois Urbana-Champaign
Urbana, United States
11 h-index
33 publications
3.7K citations

National University of Defense Technology
Changsha, China
9 h-index
28 publications
1.1K citations
Wuhan University
Wuhan, China
7 h-index
16 publications
1.1K citations

Chinese Academy of Sciences
Beijing, China
7 h-index
27 publications
9.5K citations

Beihang University
Beijing, China
5 h-index
17 publications
607 citations

Peking University
Beijing, China
5 h-index
10 publications
1.2K citations
University of Chinese Academy of Sciences
Beijing, China
5 h-index
18 publications
4.6K citations
1–8 of 267
Repository · 23 publications · 750 citations
16
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Conference · 10 publications · 627 citations
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7 publications · 301 citations
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6 publications · 433 citations
6
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6 publications · 172 citations
6
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