Span-based Coreference Models
Span-Based Coreference Models is a class of coreference resolution approaches in natural language processing that treats coreference as a span-ranking problem by explicitly enumerating and scoring potential mentions and their pairwise compatibilities within a document.
17
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1.4K
Citations
52
Authors
28
Institutions
Publications per year
2017–2026
17
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Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution
Shany Barhom, Vered Shwartz, Alon Eirew et al. · 2019 · 107 citations · Full text
End-to-end Neural Coreference Resolution
Kenton Lee, Luheng He, Mike Lewis et al. · 2017 · 84 citations · Full text
Revealing the Myth of Higher-Order Inference in Coreference Resolution
Liyan Xu, Jinho D. Choi · 2020 · 79 citations · Full text
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University of Washington
Seattle, United States
6 h-index
17 publications
3.5K citations
Google (United States)
Mountain View, United States
5 h-index
6 publications
371 citations
Allen Institute for Artificial Intelligence
Seattle, United States
3 h-index
7 publications
328 citations
Emory University
Atlanta, United States
2 h-index
4 publications
178 citations
Seattle University
Seattle, United States
2 h-index
3 publications
191 citations

Universidad de Granada
Granada, Spain
1 h-index
1 publications
14 citations
University of Maryland, College Park
College Park, United States
1 h-index
2 publications
36 citations
Intel (Israel)
Kiryat Gat, Israel
1 h-index
1 publications
107 citations
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Repository · 3 publications · 75 citations
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Conference · 1 publications · 13 citations
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Conference · 1 publications · 18 citations
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Conference · 1 publications · 18 citations
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TACL · 1 publications · 179 citations
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