Cross-document Coreference Resolution
Cross-Document Coreference Resolution is a task in natural language processing that identifies and links coreferent mentions of the same real-world entity across multiple distinct documents, distinguishing it from intra-document coreference resolution by operating beyond the boundaries of individual texts.
44
Publications
2.5K
Citations
121
Authors
48
Institutions
Publications per year
2017–2026
15
Variants
Cdcr
Parents
44
Joint Entity and Event Coreference Resolution across Documents
Heeyoung Lee, Marta Vilar Recasens, Anne Lynn S. Chang et al. · 2012 · 186 citations
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48

Johns Hopkins University
Baltimore, United States
6 h-index
18 publications
554 citations

Bar-Ilan University
Ramat Gan, Israel
6 h-index
14 publications
550 citations
Intel (Israel)
Kiryat Gat, Israel
4 h-index
4 publications
171 citations

University of Massachusetts Amherst
Amherst Center, United States
4 h-index
11 publications
460 citations
University of Washington
Seattle, United States
3 h-index
3 publications
67 citations
University of Pennsylvania
Philadelphia, United States
3 h-index
3 publications
768 citations
Laboratoire d'Informatique de Paris-Nord
Villetaneuse, France
3 h-index
9 publications
444 citations
University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
12 publications
236 citations
1–8 of 48
Repository · 6 publications · 103 citations
6
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Repository · 2 publications · 63 citations
2
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Conference · 1 publications · 13 citations
1
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Conference · 1 publications · 21 citations
1
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Repository · 1 publications · 26 citations
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