A Chinese question classification using one-vs-one method as a learning tool. (1st December 2008)

• Record Type: Journal Article
• Authors: Xiao, Yanshan; Liu, Bo; Cao, Longbing
• Is Part Of: International journal of intelligent information and database systems. Volume 2:Number 4(2008)
• Page Start: 446
• Page End: 459
• Publication Date: 2008-12-01
• Subjects: support vector machines -- SVM -- question classification -- one-versus-one algorithm -- China -- question answering systems -- information retrieval -- information extraction -- Chinese; Database management -- Computer programs -- Periodicals; Information retrieval -- Computer programs -- Periodicals; Information storage and retrieval systems -- Computer programs -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Intelligent agents (Computer software) -- Periodicals; 006.33
• Languages: English
• ISSNs: 1751-5858

Abstract

Question classification plays an important role in the question answering system and the errors of question classification will probably result in the failure of question answering. Thus, how to enhance the accuracy is an open question. In order to enhance the accuracies of the Chinese question classification, this paper extends one-against-one method based on SVMs to resolve the problems. The results show the good performance of the algorithm for Chinese question classification problems.