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

Authors:
Ted Pedersen;Anagha Kulkarni
Affiliations:
University of Minnesota, Duluth, MN;University of Minnesota, Duluth, MN
Venue:
EACL '06 Proceedings of the Eleventh Conference of the European Chapter of the Association for Computational Linguistics: Posters & Demonstrations
Year:
2006

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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.