@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}
}
