Chinese Word Sense Induction with Basic Clustering Algorithms
نویسندگان
چکیده
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.
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