NDLI: Similarity Computation of Chinese Question Based on Chunk

Content Provider	IEEE Xplore Digital Library
Author	Zheng-Tao Yu Lei Hu Li Huang Jing-Hui Deng Shi-Ping Tang
Copyright Year	2006
Description	Author affiliation: Sch. of Inf. Eng. & Autom., Kunming Univ. of Sci. & Technol. (Zheng-Tao Yu; Lei Hu; Li Huang; Jing-Hui Deng)
Abstract	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
Sponsorship	IEEE Syst., Man and Cybernetics Hebei Univ.
Starting Page	17
Ending Page	22
File Size	204643
Page Count	6
File Format	PDF
ISBN	1424400619
DOI	10.1109/ICMLC.2006.258809
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Learning systems Computational modeling Automation Computer applications Application software Laboratories Computer science Information analysis Hidden Markov models Support vector machines special chunk Sentence similarity Chunk similarity word similarity general chunk
Content Type	Text
Resource Type	Article

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