Table-based Fact Verification
2 papers with code • 1 benchmarks • 2 datasets
Verifying facts given semi-structured data.
Benchmarks
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TabFact
InfoTabS
Greatest papers with code
Understanding tables with intermediate pre-training
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.
Ranked #1 on
Table-based Fact Verification
on TabFact
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.
Ranked #2 on
Table-based Fact Verification
on TabFact