DocumentCode :
578164
Title :
Similarity calculation of fusion sentence surface information and the syntax structure
Author :
Kang, Hai-yan ; Li, Qing-hua ; Yuan, Xiao-jiao ; Ren, Jun-ling
Author_Institution :
Beijing Key Lab. of Internet Culture & Digital Dissemination, Beijing Inf. Sci. & Technol. Univ., Beijing, China
Volume :
2
fYear :
2012
fDate :
15-17 July 2012
Firstpage :
773
Lastpage :
778
Abstract :
Similarity calculation is an important issue in the fields such as the question answering system, information retrieval and so on. This paper designs a model which fuses sentence surface information and the syntax structure for similarity calculation. In the calculation of the sentence similarity, firstly, it considers sentence surface information with two factors of the number of the same keywords and keywords order. Then it considers the similarity of syntactic structure. Finally, the two are combined to calculate the similarity of the sentence for answer extraction. Based on the above algorithms, a facing web intelligent QA system/retrieval system is developed in Java EE platform, Experiments show that the algorithm can effectively improve the performance of the system.
Keywords :
Internet; Java; question answering (information retrieval); Java EE platform; Web intelligent QA system; answer extraction; fusion sentence surface information; information retrieval; question answering system; similarity calculation; syntax structure; Abstracts; Accuracy; Mice; Similarity calculation; answer extraction; information retrieval; question answering system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
Conference_Location :
Xian
ISSN :
2160-133X
Print_ISBN :
978-1-4673-1484-8
Type :
conf
DOI :
10.1109/ICMLC.2012.6359023
Filename :
6359023
Link To Document :
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