Factuality Detection is a computational task that, within the broader domain of natural language understanding, identifies and distinguishes factual statements from non-factual or speculative content in text by assessing the commitment to truth of asserted propositions.
210
Publications
12.4K
Citations
662
Authors
227
Institutions
Publications per year
2017–2026
171
Parents
Publications
210
1–5 of 210
Authors
662
- PN
13
h-index
- AV
13
h-index
- GD
8
h-index
- AB
8
h-index
- JT
6
h-index
1–5 of 662
Institutions
227
University of Cambridge
Cambridge, United Kingdom
9 h-index
18 publications
2.8K citations
Amazon (United States)
Seattle, United States
7 h-index
9 publications
466 citations
The University of Texas at Arlington
Arlington, United States
6 h-index
19 publications
1.6K citations
University of Sheffield
Sheffield, United Kingdom
6 h-index
9 publications
817 citations
Carnegie Mellon University
Pittsburgh, United States
6 h-index
12 publications
643 citations
Pennsylvania State University
State College, United States
5 h-index
14 publications
2.2K citations
Technische Universität Darmstadt
Darmstadt, Germany
5 h-index
12 publications
718 citations
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
11 publications
804 citations
1–8 of 227
Venues
- arXiv (Cornell University)
Repository · 26 publications · 985 citations
16
h-index
- Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Conference · 6 publications · 156 citations
6
h-index
- Proceedings of the AAAI Conference on Artificial Intelligence
Conference · 4 publications · 125 citations
4
h-index
- PLoS ONE
3 publications · 111 citations
3
h-index
- Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Conference · 3 publications · 130 citations
3
h-index
1–5