Selecting the "Right" number of senses based on clustering criterion functions

Ted Pedersen, Anagha Kulkarni

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

11 Scopus citations

Abstract

This paper describes an unsupervised knowledge-lean methodology for automatically determining the number of senses in which an ambiguous word is used in a large corpus. It is based on the use of global criterion functions that assess the quality of a clustering solution.

Original languageEnglish (US)
Title of host publicationEACL 2006 - 11th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference
Pages111-114
Number of pages4
StatePublished - Dec 1 2006
Event11th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2006 - Trento, Italy
Duration: Apr 3 2006Apr 7 2006

Publication series

NameEACL 2006 - 11th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference

Other

Other11th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2006
CountryItaly
CityTrento
Period4/3/064/7/06

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