Joint Predicate Extraction is a semantic analysis method that simultaneously identifies and disambiguates predicates within a sentence, distinguishing itself from sequential approaches by jointly modeling predicate detection and classification to enhance coherence and accuracy in semantic role labeling.
6
Publications
400
Citations
16
Authors
6
Institutions
Publications per year
2017–2026
3
Parents
Publications
6
Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling
Luheng He, Kenton Lee, Omer Levy et al. · 2018 · 197 citations · Full text
Learning Joint Semantic Parsers from Disjoint Data
Hao Peng, Sam Thomson, Swabha Swayamdipta et al. · 2018 · 70 citations · Full text
Joint Case Argument Identification for Japanese Predicate Argument Structure Analysis
Hiroki Ouchi, Hiroyuki Shindo, Kevin Duh et al. · 2015 · 20 citations · Full text
1–5 of 6
Authors
16
- LH
2
h-index
- OL
2
h-index
- KL
2
h-index
- LZ
2
h-index
- ST
1
h-index
1–5 of 16
Institutions
6
University of Washington
Seattle, United States
2 h-index
8 publications
1.1K citations
The University of Tokyo
Tokyo, Japan
1 h-index
1 publications
65 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
4 publications
280 citations
Research Organization of Information and Systems
Tokyo, Japan
1 h-index
1 publications
65 citations
University of Edinburgh
Edinburgh, United Kingdom
1 h-index
1 publications
65 citations
University of Southern California
Los Angeles, United States
1 h-index
2 publications
66 citations
1–6 of 6
Venues
- arXiv (Cornell University)
Repository · 1 publications · 15 citations
1
h-index
1–1