Stanford NLP Group: Natural Language Inference (NLI) over tables by @WilliamWangNLP et al.
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
1 replies, 23 likes
arxiv: TabFact: A Large-scale Dataset for Table-based Fact Verification. http://arxiv.org/abs/1909.02164 https://t.co/mYzCV0Es42
0 replies, 9 likes
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.
0 replies, 3 likes
arXiv CS-CL: TabFact: A Large-scale Dataset for Table-based Fact Verification http://arxiv.org/abs/1909.02164
0 replies, 1 likes
Found on Dec 01 2019 at https://arxiv.org/pdf/1909.02164.pdf