Noun-phrase co-occurrence statistics for semi-automatic semantic lexicon construction

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dc.creatorRoark, Brian
dc.creatorCharniak, Eugene
dc.date2000-08-24
dc.date.accessioned2026-07-07T03:16:29Z
dc.date.available2026-07-07T03:16:29Z
dc.descriptionGenerating semantic lexicons semi-automatically could be a great time saver, relative to creating them by hand. In this paper, we present an algorithm for extracting potential entries for a category from an on-line corpus, based upon a small set of exemplars. Our algorithm finds more correct terms and fewer incorrect ones than previous work in this area. Additionally, the entries that are generated potentially provide broader coverage of the category than would occur to an individual coding them by hand. Our algorithm finds many terms not included within Wordnet (many more than previous algorithms), and could be viewed as an ``enhancer'' of existing broad-coverage resources.
dc.description7 pages, 1 figure, 5 tables
dc.identifierhttps://arxiv.org/abs/cs/0008026
dc.identifierhttp://arxiv.org/abs/cs/0008026
dc.identifierProceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics (COLING-ACL), 1998, pages 1110-1116
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/30374
dc.subjectComputation and Language
dc.subjectI.2.7
dc.titleNoun-phrase co-occurrence statistics for semi-automatic semantic lexicon construction
dc.typetext

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