Chinese Word Sense Induction based on Hierarchical Clustering Algorithm
نویسندگان
چکیده
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.
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تاریخ انتشار 2010