Chinese Question Classification Based on Question Property Kernel

被引：0
作者：
Li Liu
Zhengtao Yu
Jianyi Guo
Cunli Mao
Xudong Hong
机构：
[1] Kunming University of Science and Technology,School of Information Engineering and Automation
[2] Kunming University of Science and Technology,The Intelligent Information Processing Key Laboratory
[3] Beijing Institute of Technology,School of Computer Science and Technology
来源：
International Journal of Machine Learning and Cybernetics | 2014年 / 5卷
关键词：
Chinese question classification; Dependency relationship; Support vector machine; Property kernel;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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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页码：713 / 720
页数：7
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