Question Classification for Chinese Cuisine Question Answering System

Authors

  • Ling Xia,

    Student Member, Corresponding author
    1. Faculty of Engineering, The University of Tokushima, Tokushima, 770-8506, Japan
    • Department of Information Science & Intelligent Systems, Faculty of Engineering, The University of Tokushima, 2-1 Minamijosanjima-cho, Tokushima, Japan 770-8506.
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  • Zhi Teng,

    Non-member
    1. Faculty of Engineering, The University of Tokushima, Tokushima, 770-8506, Japan
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  • Fuji Ren

    Member
    1. Faculty of Engineering, The University of Tokushima, Tokushima, 770-8506, Japan
    2. School of Computer Science and Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
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Abstract

This paper presents an integrated method on question classification for Chinese cuisine question answering (QA) system. First, we exploit the domain knowledge to enrich question preprocessing, then classification features are extracted by means of domain attributes and the rule-based classifier is constructed. Support vector machine (SVM) classifier is used for secondary classification to the questions which cannot be matched with rules. A prototype system based on the proposed method has been constructed and an experiment on 453 natural language questions collected from Internet has been carried out. It achieved an accuracy of 96.22%. Result shows that a small number of linguistically motivated domain features can efficiently classify questions of Chinese cuisine QA system. Copyright © 2009 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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