Title :
An Integrated Approach for Question Classification in Chinese Cuisine Question Answering System
Author :
Xia, Ling ; Teng, Zhi ; Ren, Fuji
Author_Institution :
Fac. of Eng., Univ. of Tokushima, Tokushima, Japan
Abstract :
This paper presents an integrated method on question classification of Chinese Sichuan cuisine QA system. Classified features are extracted by means of domain attributes and the rule based classifier is constructed. SVM classifier is used for secondary classification to the questions which cannot be matched with rules. Experimental results show that the proposed method can achieve an accuracy of 96.22%.
Keywords :
feature extraction; information retrieval systems; natural languages; pattern classification; support vector machines; Chinese Sichuan cuisine question answering system; SVM classifier; domain attributes; feature classification; feature extraction; question classification; rule based classifier; Data mining; Feature extraction; Internet; Matched filters; Natural languages; Raw materials; Robustness; Support vector machine classification; Support vector machines; Taxonomy; domain word; question classification; rule; svm;
Conference_Titel :
Universal Communication, 2008. ISUC '08. Second International Symposium on
Conference_Location :
Osaka
Print_ISBN :
978-0-7695-3433-6
DOI :
10.1109/ISUC.2008.18
