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Similarity Computation of Chinese Question Based on Chunk

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5 Author(s)
Zheng-tao Yu ; The School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, 650051, China; The Computer technology application key laboratory of Yunnan Province, Kunming 650051, China. E-MAIL:, ; Lei Hu ; Li Huang ; Jing-hui Deng
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The currently similarity computation methods of Chinese sentence and their shortcomings are analyzed at first. According to the characteristic of the Chinese question sentence, Chinese question general chunk and special chunk are defined, and then a similarity computation method of Chinese question based on chunk is proposed. In this method, the semantic similarity of words is computed on the basis of HowNet. General chunk is recognized by chunk parsing theory and HMM learning method, and special chunk is retrieved with some heuristic rule or SVM learning methods, then the similarity of each chunk in the two question sentences is computed separately, then the similarity computation of question sentence is realized, which is based on chunk similarity. Finally, the experiment result of question similarity computation method shows that the method proposed in the paper gets a better performance than the others

Published in:

2006 International Conference on Machine Learning and Cybernetics

Date of Conference:

13-16 Aug. 2006