Towards Debiasing Fact Verification Models
© 2019 Association for Computational Linguistics Fact verification requires validating a claim in the context of evidence. We show, however, that in the popular FEVER dataset this might not necessarily be the case. Claim-only classifiers perform competitively with top evidence-aware models. In this...
Main Authors: | Schuster, Tal (Author), Shah, Darsh J (Author), Yeo, Yun Jie Serene (Author), Filizzola, Daniel (Author), Santus, Enrico (Author), Barzilay, Regina (Author) |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor) |
Format: | Article |
Language: | English |
Published: |
Association for Computational Linguistics,
2021-11-15T15:59:15Z.
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Subjects: | |
Online Access: | Get fulltext |
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