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International Journal of Machine Learning and Cybernetics
Published in: International Journal of Machine Learning and Cybernetics 5/2014

01-10-2014 | Original Article

Chinese Question Classification Based on Question Property Kernel

Authors: Li Liu, Zhengtao Yu, Jianyi Guo, Cunli Mao, Xudong Hong

Published in: International Journal of Machine Learning and Cybernetics | Issue 5/2014

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Abstract

Support vector machine have been widely used in classification tasks, however, the structure of the question is ignored while using the standard kernel function in the question classification. To solve the problem, a question property kernel function which combines syntactic dependency relationship and POS (part of speech) is proposed in this paper. Firstly we extract the term, POS, dependency relationship of "HED" words and dependency relationship of "question words" from questions. And then we adopt the value of kernel function by computing the dependency relationship of the term, POS, and the dependency path which the two terms shared. At last we get the support vectors by SMO algorithm. The results of experiments show that the kernel function proposed in this paper which implicated the effective utilization of the question structure can improves the accuracy of the classification.
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Metadata
Title
Chinese Question Classification Based on Question Property Kernel
Authors
Li Liu
Zhengtao Yu
Jianyi Guo
Cunli Mao
Xudong Hong
Publication date
01-10-2014
Publisher
Springer Berlin Heidelberg
Published in
International Journal of Machine Learning and Cybernetics / Issue 5/2014
Print ISSN: 1868-8071
Electronic ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-013-0216-y

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