IIIT Hyderabad Publications |
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Extracting Semantic Knowledge from Wikipedia Category NamesAuthors: Priya Radhakrishnan,Vasudeva Varma Conference: The 3rd Workshop on Knowledge Extraction at CIKM 2013 Location San Francisco Date: 2013-10-27 Report no: IIIT/TR/2013/92 AbstractWikipedia being a large, freely available, frequently updated and community maintained knowledge base, has been central to much recent research. However, quite often we and that the information extracted from it has extraneous content. This paper proposes a method to extract useful information from Wikipedia, using Semantic Features derived from Wikipedia categories. The proposed method provides good performance as a Wikipedia category based method. Experimental results on benchmark datasets show that the proposed method achieves a correlation coefficient of 0.66 with human judgments. The Semantic Features derived by this method gave good correlation with human rankings in a web search query completion application. Full paper: pdf Centre for Search and Information Extraction Lab |
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