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
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;
Conference_Titel :
Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4577-1700-0
DOI :
10.1109/TMEE.2011.6199517
