Paper: Selecting The Right Number Of Senses Based On Clustering Criterion Functions

ACL ID E06-2007
Title Selecting The Right Number Of Senses Based On Clustering Criterion Functions
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session System Demonstration
Year 2006
Authors

This paper describes an unsupervised knowledge–lean methodology for auto- matically determining the number of senses in which an ambiguous word is used in a large corpus. It is based on the useofglobalcriterionfunctionsthatassess the quality of a clustering solution.