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TABFACT: A LARGE-SCALE DATASET FOR TABLEBASED FACT VERIFICATION

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Stanford NLP Group: Natural Language Inference (NLI) over tables by @WilliamWangNLP et al. https://arxiv.org/abs/1909.02164 Tables are a ubiquitous but little studied human information source stuck between text and structured data—though see semantic parsing work, e.g., https://www.aclweb.org/anthology/P15-1142 by @IcePasupat https://t.co/ghlFbOFJXN

1 replies, 273 likes


William Wang: Excited to share the TabFact Competition leaderboard for table-text reasoning and table-based fact verification: https://competitions.codalab.org/competitions/21611 Time to think about textual reasoning with semi-structured data! #NLProc @WenhuChen

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arxiv: TabFact: A Large-scale Dataset for Table-based Fact Verification. http://arxiv.org/abs/1909.02164 https://t.co/mYzCV0Es42

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Lluís-Esteve Casellas: Fact verification, unstructured and structured information. "Existing studies are mainly restricted to dealing with unstructured evidence, while verification under structured evidence, such as tables, graphs, and databases, remains unexplored" @WilliamWangNLP et al. @stanfordnlp

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arXiv CS-CL: TabFact: A Large-scale Dataset for Table-based Fact Verification http://arxiv.org/abs/1909.02164

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Found on Dec 01 2019 at https://arxiv.org/pdf/1909.02164.pdf

PDF content of a computer science paper: TABFACT: A LARGE-SCALE DATASET FOR TABLEBASED FACT VERIFICATION