Table-based Fact Verification

2 papers with code • 1 benchmarks • 2 datasets

Verifying facts given semi-structured data.

Greatest papers with code

Understanding tables with intermediate pre-training

google-research/tapas 1 Oct 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.

Data Augmentation Natural Language Inference +1

TabFact: A Large-scale Dataset for Table-based Fact Verification

wenhuchen/Table-Fact-Checking 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.

Fact Checking Fact Verification +3