An Efficient Digital Search Algorithm by Using a Double-Array Structure
IEEE Transactions on Software Engineering
Automatic text structuring and categorization as a first step in summarizing legal cases
Information Processing and Management: an International Journal
A document classification method by using field association words
Information Sciences—Informatics and Computer Science: An International Journal
Automatic Text Categorization and Its Application to Text Retrieval
IEEE Transactions on Knowledge and Data Engineering
Text categorization based on k-nearest neighbor approach for web site classification
Information Processing and Management: an International Journal
FAQ finder: a case-based approach to knowledge navigation
CAIA '95 Proceedings of the 11th Conference on Artificial Intelligence for Applications
Documents similarity measurement using field association terms
Information Processing and Management: an International Journal
Effects of adjective orientation and gradability on sentence subjectivity
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Estimating sentence types in computer related new product bulletins using a decision tree
Information Sciences—Informatics and Computer Science: An International Journal
Thumbs up?: sentiment classification using machine learning techniques
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Automatic building of new field association word candidates using search engine
Information Processing and Management: an International Journal
Estimation of FAQ knowledge bases by using semantic expressions for questions and answers
International Journal of Computer Applications in Technology
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In the man-machine interfaces, it is important to use dialogue understanding technologies. One of the practical application fields is a question and answering (QA) systems. In order to reply appropriate answers for user's questions, this paper presents a dialogue technique by transforming semantic expressions for both requests and answers. The measurements for the disrepute of the QA system are introduced for requests and answers, respectively. For the KAMOKUMA QA system generating answers which are reflecting user's intension, the presented scheme is applied. For the AQ data with 7,518 requests, the real time simulation to estimate user's sufficiency is computed.