Selecting the "right" number of senses based on clustering criterion functions
Ted Pedersen, Anagha Kulkarni · 2006
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.