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http://dx.doi.org/10.3745/KIPSTB.2010.17B.4.327

Question Classification Based on Word Association for Question and Answer Archives  

Jin, Xueying (전북대학교 컴퓨터공학과)
Lee, Kyung-Soon (전북대학교 컴퓨터공학부/영상정보신기술연구센터)
Publication Information
The KIPS Transactions:PartB / v.17B, no.4, 2010 , pp. 327-332 More about this Journal
Abstract
Word mismatch is the most significant problem that causes low performance in question classification, whose questions consist of only two or three words that expressed in many different ways. So, it is necessary to apply word association in question classification. In this paper, we propose question classification method using translation-based language model, which use word translation probabilities for question-question pair that is learned in the same category. In the experiment, we prove that translation probabilities of question-question pairs in the same category is more effective than question-answer pairs in total collection.
Keywords
Question Classification; Word Association; Translation-Based Language Model; Language Model; Feature Selection; Question and Answer Archives;
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