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      Views: (1025)   Date: (22-01-08)   Pages: ()
    • Author:  by Andr?s Montoyo  German Rigau  

    • Abstract:  Abstract. This paper presents a new method to enrich semantically WordNet with categories from general domain classification systems. The method is performed in two consecutive steps. First, a lexical knowledge word sense disambiguation process. Second, a set of rules to select the main concepts as representatives for each category. The method has been applied to label automatically WordNet synsets with Subject Codes from a standard news agencies classification system. Experimental results show than the proposed method achieves more than 95 % accuracy selecting the main concepts for each category. 1

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