Span-based Semantic Role Labeling
Span-Based Semantic Role Labeling is a method of semantic role labeling that identifies predicate-argument structures by enumerating text spans as candidate arguments and classifying their semantic roles relative to predicates, distinguishing itself from sequence-level or token-tagging approaches through its explicit span-level argument representation.
12
Publications
650
Citations
33
Authors
15
Institutions
Publications per year
2017–2026
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Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling
Luheng He, Kenton Lee, Omer Levy et al. · 2018 · 197 citations · Full text
A Span Selection Model for Semantic Role Labeling
Hiroki Ouchi, Hiroyuki Shindo, Yūji Matsumoto · 2018 · 101 citations · Full text
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Cloud Computing Center
Dongguan, China
2 h-index
4 publications
244 citations

Sapienza University of Rome
Rome, Italy
2 h-index
5 publications
98 citations

Shanghai Jiao Tong University
Shanghai, China
2 h-index
10 publications
610 citations
University of Washington
Seattle, United States
2 h-index
8 publications
828 citations
RIKEN Center for Advanced Intelligence Project
Tokyo, Japan
1 h-index
3 publications
303 citations
Google (United States)
Mountain View, United States
1 h-index
2 publications
20 citations
Seattle University
Seattle, United States
1 h-index
2 publications
20 citations
Temple University
Philadelphia, United States
1 h-index
2 publications
48 citations
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Repository · 2 publications · 33 citations
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Conference · 1 publications · 18 citations
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Conference · 1 publications · 104 citations
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