Using Dependency Analysis to Improve Question Classification

Le, Hong Phuong and Phan, Xuan Hieu and Nguyen, Tien Dung (2014) Using Dependency Analysis to Improve Question Classification. In: The 8th International Conference on Knowledge and Systems Engineering (KSE), 9-11 October 2014, Hanoi, Vietnam.

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Abstract

Question classification is a first necessary task of automatic question answering systems. Linguistic features play an important role in developing an accurate question classifier. This paper proposes to use typed dependencies which are extracted automatically from dependency parses of questions to improve accuracy of classification. Experiment results show that with only surface typed dependencies, one can improve the accuracy of a discriminative question classifier by over 8.0% on two benchmark datasets.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Information Technology (IT)
Divisions:	Faculty of Information Technology (FIT)
Depositing User:	A/Prof. Xuan Hieu Phan
Date Deposited:	14 Nov 2016 02:32
Last Modified:	14 Nov 2016 02:32
URI:	http://eprints.uet.vnu.edu.vn/eprints/id/eprint/1885

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