Entity Span Detection
Entity Span Detection is a fundamental subtask within Named Entity Recognition that identifies the precise boundaries of contiguous text segments corresponding to named entities, distinguishing it from entity classification by focusing exclusively on locating the span of entity mentions rather than their semantic types.
23
Publications
1.7K
Citations
86
Authors
28
Institutions
Publications per year
2017–2026
22
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A general framework for information extraction using dynamic span graphs
Yi Luan, Dave Wadden, Luheng He et al. · 2019 · 318 citations · Full text
Template-Based Named Entity Recognition Using BART
Leyang Cui, Yu Wu, Liu Jian et al. · 2021 · 304 citations · Full text
A Span-Based Model for Joint Overlapped and Discontinuous Named Entity Recognition
Fei Li, Zhichao Lin, Meishan Zhang et al. · 2021 · 106 citations · Full text
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Fudan University
Shanghai, China
2 h-index
7 publications
527 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
2 h-index
6 publications
156 citations
Alibaba Group (United States)
San Mateo, United States
2 h-index
7 publications
286 citations
Wuhan University
Wuhan, China
2 h-index
5 publications
290 citations

Zhejiang University
Hangzhou, China
2 h-index
6 publications
434 citations
University of Colorado Boulder
Boulder, United States
1 h-index
4 publications
156 citations
Huawei Technologies (China)
Shenzhen, China
1 h-index
6 publications
318 citations
Shanghai Municipal Education Commission
Shanghai, China
1 h-index
3 publications
66 citations
1–8 of 28
Repository · 6 publications · 140 citations
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1 publications · 29 citations
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Conference · 1 publications · 17 citations
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Conference · 1 publications · 53 citations
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Conference · 1 publications · 52 citations
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