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Automatic Construction of Class Hierarchies and Named Entity Dictionaries using Korean Wikipedia  

Bae, Sang-Joon (동아대학교 컴퓨터공학과)
Ko, Young-Joong (동아대학교 컴퓨터공학과)
Publication Information
Journal of KIISE:Computing Practices and Letters / v.16, no.4, 2010 , pp. 492-496 More about this Journal
Abstract
Wikipedia as an open encyclopedia contains immense human knowledge written by thousands of volunteer editors and its reliability is also high. In this paper, we propose to automatically construct a Korean named entity dictionary using the several features of the Wikipedia. Firstly, we generate class hierarchies using the class information from each article of Wikipedia. Secondly, the titles of each article are mapped to our class hierarchies, and then we calculate the entropy value of the root node in each class hierarchy. Finally, we construct named entity dictionary with high performance by removing the class hierarchies which have a higher entropy value than threshold. Our experiment results achieved overall F1-measure of 81.12% (precision : 83.94%, recall : 78.48%).
Keywords
Wikipedia; Class hierarchy; Named entity dictionary; Text mining;
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