Computing word-pair antonymy
| Title | Computing word-pair antonymy |
| Publication Type | Conference Papers |
| Year of Publication | 2008 |
| Authors | Mohammad S, Dorr BJ, Hirst G |
| Conference Name | Proceedings of the Conference on Empirical Methods in Natural Language Processing |
| Date Published | 2008/// |
| Publisher | Association for Computational Linguistics |
| Conference Location | 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 |