@conference {13741, title = {Computing word-pair antonymy}, booktitle = {Proceedings of the Conference on Empirical Methods in Natural Language Processing}, series = {EMNLP {\textquoteright}08}, year = {2008}, month = {2008///}, pages = {982 - 991}, publisher = {Association for Computational Linguistics}, organization = {Association for Computational Linguistics}, address = {Stroudsburg, PA, USA}, abstract = {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.}, url = {http://dl.acm.org/citation.cfm?id=1613715.1613843}, author = {Mohammad,Saif and Dorr, Bonnie J and Hirst,Graeme} }