Automatic Question Answering System Based on Contextual Interaction

In the question-answer system aimed at course learning, the serial questions asked by user should not be processed respectively, but need to be replied according to context, and the premise is to examine the relevance between user’s current question and quondam questions. An automatic question-answe...

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Bibliographic Details
Published inApplied Mechanics and Materials Vol. 58-60; pp. 1219 - 1225
Main Authors Liu, Han Xing, Liu, Cai Xing, Zeng, Ling
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.06.2011
Subjects
QA
Contextual Interaction
Ontology
Relevancy Recognition
Support Vector Machine (SVM)
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Summary:In the question-answer system aimed at course learning, the serial questions asked by user should not be processed respectively, but need to be replied according to context, and the premise is to examine the relevance between user’s current question and quondam questions. An automatic question-answer system is designed which can carry out contextual interaction. The relevance of user’s questions is detected with SVM, the elliptical sentences in the following questions are recovered, and final answers are extracted from ontology-knowledge-base after classifying questions and retrieving information. The experiment result indicates that the F measure of question detection reaches 88% and the accuracy rate of questions is 69.5%.
Bibliography:Selected, peer reviewed papers from the 2011 International Conference on Information Technology for Manufacturing Systems (ITMS 2011), Shanghai, China, May 7-8, 2011
ISBN:303785149X
9783037851494
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.58-60.1219