NII Technical Report (NII-2010-002E)：Typing Software Articles with Wikipedia Category Structure

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Abstract

In this paper we present a low-cost method for typing Named Entities with Wikipedia. Di®erent from other text analysis-based ap- proaches, our approach relies only on the structural features of Wiki- pidia and the use of external linguistic resources is optional. We perform binary classi¯cation of an article by analyzing of the names of its categories as well as the structure. The evaluation shows our method can be successfully applied to the `software' category (F 80%).

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