Cross-document Information Extraction
Cross-Document Information Extraction is a type of information extraction that identifies and synthesizes semantic relationships and entities across multiple, distinct documents, distinguishing itself from single-document approaches by leveraging inter-document context to infer implicit or distributed knowledge.
35
Publications
2.6K
Citations
129
Authors
55
Institutions
Publications per year
2017–2026
8
Parents
35
Learning to link with wikipedia
David Milne, Ian H. Witten · 2008 · 1.3K citations
Refining Event Extraction through Cross-Document Inference
Heng Ji, Ralph Grishman · 2008 · 401 citations
Entity-centered Cross-document Relation Extraction
Fengqi Wang, Fei Li, Hao Fei et al. · 2022 · 49 citations · Full text
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55
University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
14 publications
557 citations

Johns Hopkins University
Baltimore, United States
3 h-index
6 publications
158 citations
University of Sheffield
Sheffield, United Kingdom
2 h-index
4 publications
62 citations

University of Massachusetts Amherst
Amherst Center, United States
2 h-index
4 publications
347 citations

Philadelphia University
Philadelphia, United States
2 h-index
3 publications
115 citations
City University of New York
New York, United States
2 h-index
7 publications
221 citations

Peking University
Beijing, China
2 h-index
4 publications
103 citations
University of Pennsylvania
Philadelphia, United States
2 h-index
3 publications
115 citations
1–8 of 55
Conference · 2 publications · 62 citations
2
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DKE · 1 publications · 32 citations
1
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1 publications · 11 citations
1
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1 publications · 28 citations
1
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Repository · 1 publications · 11 citations
1
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