Generating Scientific Claims for Zero-Shot Scientific Fact Checking

Dustin Wright, David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Isabelle Augenstein, Lucy Wang


Abstract
Automated scientific fact checking is difficult due to the complexity of scientific language and a lack of significant amounts of training data, as annotation requires domain expertise. To address this challenge, we propose scientific claim generation, the task of generating one or more atomic and verifiable claims from scientific sentences, and demonstrate its usefulness in zero-shot fact checking for biomedical claims. We propose CLAIMGEN-BART, a new supervised method for generating claims supported by the literature, as well as KBIN, a novel method for generating claim negations. Additionally, we adapt an existing unsupervised entity-centric method of claim generation to biomedical claims, which we call CLAIMGEN-ENTITY. Experiments on zero-shot fact checking demonstrate that both CLAIMGEN-ENTITY and CLAIMGEN-BART, coupled with KBIN, achieve up to 90% performance of fully supervised models trained on manually annotated claims and evidence. A rigorous evaluation study demonstrates significant improvement in generated claim and negation quality over existing baselines
Anthology ID:
2022.acl-long.175
Volume:
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Month:
May
Year:
2022
Address:
Dublin, Ireland
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
2448–2460
Language:
URL:
https://aclanthology.org/2022.acl-long.175
DOI:
10.18653/v1/2022.acl-long.175
Bibkey:
Cite (ACL):
Dustin Wright, David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Isabelle Augenstein, and Lucy Wang. 2022. Generating Scientific Claims for Zero-Shot Scientific Fact Checking. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2448–2460, Dublin, Ireland. Association for Computational Linguistics.
Cite (Informal):
Generating Scientific Claims for Zero-Shot Scientific Fact Checking (Wright et al., ACL 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.acl-long.175.pdf
Code
 allenai/scientific-claim-generation
Data
FEVERSciFact