Abstract��Chinese semantic annotation aims to find out the senses of a multi-semantic word,which is widely applied in
natural language processing. This paper proposes a novel approach for semantic annotation of multi-semantic Chinese nouns. Given a multi-semantic Chinese noun,the proposed method can get its senses. The procedure is described as follows. The search results including URLs and abstracts of related Web pages are acquired through a search engine. The initial semantic classes are automatically generated by an online URL classifier using information gotten at the first step. Clustering algorithms are adopted to make full use of the Web page abstracts to get the final semantic classes. Experimental results demonstrate the proposed novel approach can obtain a considerable precision and recall rate with little manual intervention.
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