Paper: Evaluation Of Utility Of LSA For Word Sense Discrimination

ACL ID N06-2020
Title Evaluation Of Utility Of LSA For Word Sense Discrimination
Venue Human Language Technologies
Session Short Paper
Year 2006
Authors

The goal of the on-going project de- scribed in this paper is evaluation of the utility of Latent Semantic Analysis (LSA) for unsupervised word sense discrimina- tion. The hypothesis is that LSA can be used to compute context vectors for am- biguous words that can be clustered to- gether – with each cluster corresponding to a different sense of the word. In this paper we report first experimental result on tightness, separation and purity of sense-based clusters as a function of vec- tor space dimensionality and using differ- ent distance metrics.