Paper: Discriminating Among Word Senses Using McQuitty's Similarity Analysis

ACL ID N03-3004
Title Discriminating Among Word Senses Using McQuitty's Similarity Analysis
Venue Human Language Technologies
Session Student Session
Year 2003
Authors

This paper presents an unsupervised method for discriminating among the senses of a given target word based on the context in which it oc- curs. Instances of a word that occur in similar contexts are grouped together via McQuitty’s Similarity Analysis, an agglomerative cluster- ing algorithm. The context in which a target word occurs is represented by surface lexical features such as unigrams, bigrams, and sec- ond order co-occurrences. This paper summa- rizes our approach, and describes the results of a preliminary evaluation we have carried out using data from the SENSEVAL-2 English lexi- cal sample and the line corpus.