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

fYear

2008

fDate

15-16 Dec. 2008

Firstpage

317

Lastpage

321

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Universal Communication, 2008. ISUC '08. Second International Symposium on

Conference_Location

Osaka

Print_ISBN

978-0-7695-3433-6

Type

conf

DOI

10.1109/ISUC.2008.18

Filename

4724479

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1994903