{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/mining-knowledge-for-natural-language","title":"Mining Knowledge for Natural Language Inference from Wikipedia Categories","arxiv_id":"2010.01239","date":"2020-10-03","proceeding":"Findings of the Association for Computational Linguistics 2020","authors":["Mingda Chen","Zewei Chu","Karl Stratos","Kevin Gimpel"],"abstract":"Accurate lexical entailment (LE) and natural language inference (NLI) often require large quantities of costly annotations. 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