Abstract
This paper describes our approach for Task 9 of SemEval 2021: Statement Verification and Evidence Finding with Tables. We participated in both subtasks, namely statement verification and evidence finding. For the subtask of statement verification, we extend the TAPAS model to adapt to the ‘unknown’ class of statements by finetuning it on an augmented version of the task data. For the subtask of evidence finding, we finetune the DistilBERT model in a Siamese setting.- Anthology ID:
- 2021.semeval-1.182
- Volume:
- Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)
- Month:
- August
- Year:
- 2021
- Address:
- Online
- Venue:
- SemEval
- SIGs:
- SIGLEX | SIGSEM
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1276–1282
- Language:
- URL:
- https://aclanthology.org/2021.semeval-1.182
- DOI:
- 10.18653/v1/2021.semeval-1.182
- Cite (ACL):
- Harshit Varma, Aadish Jain, Pratik Ratadiya, and Abhishek Rathi. 2021. AttesTable at SemEval-2021 Task 9: Extending Statement Verification with Tables for Unknown Class, and Semantic Evidence Finding. In Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021), pages 1276–1282, Online. Association for Computational Linguistics.
- Cite (Informal):
- AttesTable at SemEval-2021 Task 9: Extending Statement Verification with Tables for Unknown Class, and Semantic Evidence Finding (Varma et al., SemEval 2021)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2021.semeval-1.182.pdf
- Code
- vCreaTek/attestable-semeval
- Data
- MultiNLI, SNLI, TabFact