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Class-based probability estimation using a semantic hierarchy

Published: 02 June 2001 Publication History

Abstract

This paper concerns the acquisition of a particular kind of lexical knowledge, namely the knowledge of which noun senses can fill argument slots of predicates. Probabilities are used to represent the knowledge, and classes from a semantic hierarchy are used to estimate the probabilities. There is a particular focus on the problem of how to determine a suitable class, or level of generalisation, in the hierarchy. A pseudo disambiguation task is used to compare different class-based estimation methods.

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  • (2012)Investigating the semantics of frame elementsProceedings of the 18th international conference on Knowledge Engineering and Knowledge Management10.1007/978-3-642-33876-2_13(130-143)Online publication date: 8-Oct-2012
  • (2010)A flexible, corpus-driven model of regular and inverse selectional preferencesComputational Linguistics10.1162/coli_a_0001736:4(723-763)Online publication date: 1-Dec-2010
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cover image DL Hosted proceedings
NAACL '01: Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
June 2001
293 pages

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Association for Computational Linguistics

United States

Publication History

Published: 02 June 2001

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Overall Acceptance Rate 21 of 29 submissions, 72%

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Cited By

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  • (2016)Representing verbs as argument conceptsProceedings of the Thirtieth AAAI Conference on Artificial Intelligence10.5555/3016100.3016267(2615-2621)Online publication date: 12-Feb-2016
  • (2012)Investigating the semantics of frame elementsProceedings of the 18th international conference on Knowledge Engineering and Knowledge Management10.1007/978-3-642-33876-2_13(130-143)Online publication date: 8-Oct-2012
  • (2010)A flexible, corpus-driven model of regular and inverse selectional preferencesComputational Linguistics10.1162/coli_a_0001736:4(723-763)Online publication date: 1-Dec-2010
  • (2005)Approximate searching for distributional similarityProceedings of the ACL-SIGLEX Workshop on Deep Lexical Acquisition10.5555/1631850.1631861(97-104)Online publication date: 30-Jun-2005
  • (2004)High precision extraction of grammatical relationsNew developments in parsing technology10.5555/1139041.1139045(57-72)Online publication date: 1-Jan-2004
  • (2004)Automated induction of sense in contextProceedings of the 20th international conference on Computational Linguistics10.3115/1220355.1220488(924-es)Online publication date: 23-Aug-2004
  • (2004)Towards automatic fine-grained semantic classification of verb-noun collocationsNatural Language Engineering10.1017/S135132490400332810:2(95-143)Online publication date: 1-Jun-2004
  • (2002)Ensemble methods for automatic thesaurus extractionProceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 1010.3115/1118693.1118722(222-229)Online publication date: 6-Jul-2002
  • (2002)Improvements in automatic thesaurus extractionProceedings of the ACL-02 workshop on Unsupervised lexical acquisition - Volume 910.3115/1118627.1118635(59-66)Online publication date: 12-Jul-2002
  • (2002)Scaling context spaceProceedings of the 40th Annual Meeting on Association for Computational Linguistics10.3115/1073083.1073123(231-238)Online publication date: 6-Jul-2002
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