A Corpus-based Account of Regular Polysemy: The Case of Context-sensitive Adjectives

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we investigate polysemous adjectives whose meaning varies depending on the nouns they modify (e.g., fast ). We acquire the meanings of these adjectives from a large corpus and propose a probabilistic model which provides a ranking on the set of possible interpretations. We identify lexical semantic information automatically by exploiting the consistent correspondences between surface syntactic cues and lexical meaning. We evaluate our results against paraphrase judgments elicited experimentally from humans and show that the model’s ranking of meanings correlates reliably with human intuitions: meanings that are found highly probable by the model are also rated as plausible by the subjects.
Original languageEnglish
Title of host publicationSecond Meeting of the North American Chapter of the Association for Computational Linguistics
PublisherAssociation for Computational Linguistics
Pages63-70
Number of pages8
Publication statusPublished - 2001
EventThe Second Meeting of the North American Chapter of the Association for Computational Linguistics (NAACL 2001) - Pittsburgh, PA, United States
Duration: 2 Jun 20017 Jun 2001

Conference

ConferenceThe Second Meeting of the North American Chapter of the Association for Computational Linguistics (NAACL 2001)
CountryUnited States
CityPittsburgh, PA
Period2/06/017/06/01

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