DocumentCode :
1936476
Title :
A New Approach to Compute the Semantic Similarity of Chinese Question Sentence
Author :
Chen, Kang ; Fan, Xiao-Zhong ; Liu, Jie ; Yu, Zheng-tao
Author_Institution :
Beijing Inst. of Technol., Beijing
Volume :
6
fYear :
2007
fDate :
19-22 Aug. 2007
Firstpage :
3390
Lastpage :
3395
Abstract :
The sentence similarity computation plays an important role in each field of Chinese information processing. A new approach to compute the Chinese question semantic similarity is presented, which is divided into two steps: the first step is to extract the question semantic representation from the question, and the second step is to compute the question semantic similarity based on the question semantic representation. This paper uses the method of question semantic model matching to extract the question semantic representation from the question. The experimental results show that the proposed algorithm worked more reasonable in the real calculation. In addition, our approach is of great value for many potential applications in the future.
Keywords :
information retrieval; knowledge representation; natural language processing; Chinese information processing; Chinese question semantic similarity; question semantic model matching; question semantic representation; Automation; Computer science; Cybernetics; Data mining; Fuzzy systems; Information filtering; Information processing; Information retrieval; Machine learning; Natural language processing; Chinese question; Question semantic representation; Semantic chunk; Semantic similarity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
Type :
conf
DOI :
10.1109/ICMLC.2007.4370734
Filename :
4370734
Link To Document :
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