Question Classification Based on Word Association for Question and Answer Archives 


Vol. 17,  No. 4, pp. 327-332, Aug.  2010
10.3745/KIPSTB.2010.17.4.327


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  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.

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[IEEE Style]

X. Y. Jin and K. S. Lee, "Question Classification Based on Word Association for Question and Answer Archives," The KIPS Transactions:PartB , vol. 17, no. 4, pp. 327-332, 2010. DOI: 10.3745/KIPSTB.2010.17.4.327.

[ACM Style]

Xue Ying Jin and Kyung Soon Lee. 2010. Question Classification Based on Word Association for Question and Answer Archives. The KIPS Transactions:PartB , 17, 4, (2010), 327-332. DOI: 10.3745/KIPSTB.2010.17.4.327.

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