DocumentCode
2076038
Title
Chinese Question classification based on multi strategy method
Author
Zheng-wen, Xie ; Shan-liang, Pan
Author_Institution
Inst. of Comput. Sci. & Technol., Ningbo Univ., Ningbo, China
fYear
2011
fDate
16-18 Dec. 2011
Firstpage
1605
Lastpage
1609
Abstract
Question Classification is one of the key technologies of the question answering. This paper used questions set and improved head word extraction, and also presented question word+ part of speech 3-grams rules extraction. The unsolved questions were taken to Bayesian model to decide question categories. Experiments prove it can make the question classification get satisfaction results for the improvement of head word extraction and the utilization of the question word+ part of speech 3-grams rules.
Keywords
Bayes methods; natural language processing; pattern classification; question answering (information retrieval); Bayesian model; Chinese question classification; head word extraction; multistrategy method; question answering; question word-part of speech 3-grams rules extraction; questions set; Accuracy; Bayesian methods; Classification algorithms; Databases; Speech; Support vector machines; Training; Bayesian model; Question Classification; Question answering; Rules;
fLanguage
English
Publisher
ieee
Conference_Titel
Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on
Conference_Location
Changchun
Print_ISBN
978-1-4577-1700-0
Type
conf
DOI
10.1109/TMEE.2011.6199517
Filename
6199517
Link To Document