Paper: Chinese Word Sense Induction with Basic Clustering Algorithms

ACL ID W10-4164
Title Chinese Word Sense Induction with Basic Clustering Algorithms
Venue Joint Conference on Chinese Language Processing
Session Main Conference
Year 2010
Authors

Word Sense Induction (WSI) is an important topic in natural langage processing area. For the bakeoff task Chinese Word Sense Induction (CWSI), this paper proposes two systems using basic clustering algorithms, k-means and agglomerative clustering. Experimental results show that k-means achieves a better performance. Based only on the data provided by the task organizers, the two systems get FScores of 0.7812 and 0.7651 respectively.