TY - CONF T1 - Computing word-pair antonymy T2 - Proceedings of the Conference on Empirical Methods in Natural Language Processing Y1 - 2008 A1 - Mohammad,Saif A1 - Dorr, Bonnie J A1 - Hirst,Graeme AB - Knowing the degree of antonymy between words has widespread applications in natural language processing. Manually-created lexicons have limited coverage and do not include most semantically contrasting word pairs. We present a new automatic and empirical measure of antonymy that combines corpus statistics with the structure of a published thesaurus. The approach is evaluated on a set of closest-opposite questions, obtaining a precision of over 80%. Along the way, we discuss what humans consider antonymous and how antonymy manifests itself in utterances. JA - Proceedings of the Conference on Empirical Methods in Natural Language Processing T3 - EMNLP '08 PB - Association for Computational Linguistics CY - Stroudsburg, PA, USA UR - http://dl.acm.org/citation.cfm?id=1613715.1613843 ER -