LexSemTm: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning - researchr publication authors

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Andrew Bennett, Timothy Baldwin, Jey Han Lau, Diana McCarthy, Francis Bond. LexSemTm: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016, August 7-12, 2016, Berlin, Germany, Volume 1: Long Papers. The Association for Computer Linguistics, 2016. [doi]

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