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: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Association for Computational Linguistics
2021
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| Online Access: | https://hdl.handle.net/1721.1/137401 |