Table-based Fact Verification
14 papers with code • 1 benchmarks • 2 datasets
Verifying facts given semi-structured data.
TabFact
InfoTabS
Latest papers
AttesTable at SemEval-2021 Task 9: Extending Statement Verification with Tables for Unknown Class, and Semantic Evidence Finding
This paper describes our approach for Task 9 of SemEval 2021: Statement Verification and Evidence Finding with Tables.
TAPEX: Table Pre-training via Learning a Neural SQL Executor
microsoft/Table-Pretraining
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ICLR 2022
TAPEX addresses the data scarcity challenge via guiding the language model to mimic a SQL executor on the diverse, large-scale and high-quality synthetic corpus.
Understanding tables with intermediate pre-training
google-research/tapas
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Findings of the Association for Computational Linguistics 2020
To be able to use long examples as input of BERT models, we evaluate table pruning techniques as a pre-processing step to drastically improve the training and prediction efficiency at a moderate drop in accuracy.
TabFact: A Large-scale Dataset for Table-based Fact Verification
wenhuchen/Table-Fact-Checking
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ICLR 2020
To this end, we construct a large-scale dataset called TabFact with 16k Wikipedia tables as the evidence for 118k human-annotated natural language statements, which are labeled as either ENTAILED or REFUTED.
