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

2021-08-01 · SEMEVAL 2021 · 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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Code (1)

vCreaTek/attestable-semeval 공식 구현

Tasks

Fact CheckingFact VerificationNatural Language InferenceTable-based Fact Verification

Methods 이 논문이 사용한 방법론

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Attention 설명 없음
Linear Layer A Linear Layer is a projection $\mathbf{XW + b}$.
TAPAS 설명 없음
Multi-Head Attention 설명 없음
Layer Normalization Unlike batch normalization, Layer Normalization directly estimates the normalization statistics from the summed inputs…
WordPiece 설명 없음
Softmax The Softmax output function transforms a previous layer's output into a vector of probabilities. It is commonly used for multiclass classification. Given an input vector $x$…

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