Document-Level Information Extraction is an academic concept in natural language processing that refers to the task of identifying and structuring salient information from entire documents by modeling cross-sentence relationships, distinguishing it from sentence-level extraction through its emphasis on holistic, document-wide context integration.
311
Publications
19.6K
Citations
1K
Authors
315
Institutions
Publications per year
2017–2026
167
Parents
Publications
311
New Methods in Automatic Extracting
H. P. Edmundson · Journal of the ACM · 1969 · 1.5K citations
Message Understanding Conference-6
Ralph Grishman, Beth Sundheim · 1996 · 1.4K citations · Full text
DocRED: A Large-Scale Document-Level Relation Extraction Dataset
Yuan Yao, Deming Ye, Peng Li et al. · 2019 · 521 citations · Full text
An attention-based BiLSTM-CRF approach to document-level chemical named entity recognition
Ling Luo, Zhihao Yang, Pei Yang et al. · Bioinformatics · 2017 · 431 citations · Full text
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Authors
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- CC
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Institutions
315
Peking University
Beijing, China
11 h-index
42 publications
2.6K citations
University of Illinois Urbana-Champaign
Urbana, United States
10 h-index
30 publications
1.9K citations
Chinese Academy of Sciences
Beijing, China
10 h-index
33 publications
2.3K citations
University of Chinese Academy of Sciences
Beijing, China
8 h-index
30 publications
1.6K citations
Tsinghua University
Beijing, China
7 h-index
28 publications
5.1K citations
Microsoft Research Asia (China)
Beijing, China
7 h-index
18 publications
1.5K citations
Carnegie Mellon University
Pittsburgh, United States
7 h-index
15 publications
1.2K citations
Dalian University of Technology
Dalian, China
7 h-index
28 publications
2.8K citations
1–8 of 315
Venues
- arXiv (Cornell University)
Repository · 22 publications · 661 citations
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- Proceedings of the AAAI Conference on Artificial Intelligence
Conference · 9 publications · 872 citations
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- Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Conference · 8 publications · 224 citations
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- Information Processing & Management
8 publications · 334 citations
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- Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Conference · 5 publications · 162 citations
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