Paper: Chinese Word Sense Induction based on Hierarchical Clustering Algorithm

ACL ID W10-4169
Title Chinese Word Sense Induction based on Hierarchical Clustering Algorithm
Venue Joint Conference on Chinese Language Processing
Session Main Conference
Year 2010
Authors

Sense induction seeks to automatically identify word senses of polysemous words encountered in a corpus. Unsupervised word sense induction can be viewed as a clustering problem. In this paper, we used the Hierarchical Clustering Algorithm as the classifier for word sense induction. Experiments show the system can achieve 72% F-score about train-corpus and 65% F-score about test-corpus.