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AttesTable at SemEval-2021 Task 9: Extending Statement Verification with Tables for Unknown Class, and Semantic Evidence Finding

1 Aug 2021SEMEVAL 2021archive 2025-07-28

Harshit Varma, Aadish Jain, Pratik Ratadiya, Abhishek Rathi

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.

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Tasks

Fact Checking Fact Verification Natural Language Inference Table-based Fact Verification

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Methods

Adam Attention Attention Dropout BERT Dense Connections DistilBERT Dropout Layer Normalization Linear Layer Linear Warmup With Linear Decay Multi-Head Attention Residual Connection Softmax TAPAS Weight Decay WordPiece

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