Document clustering with committees
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Experiments with interactive question-answering
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
FERRET: interactive question-answering for real-world environments
COLING-ACL '06 Proceedings of the COLING/ACL on Interactive presentation sessions
Satisfying information needs with multi-document summaries
Information Processing and Management: an International Journal
HITIQA: a data driven approach to interactive analytical question answering
HLT-NAACL-Short '04 Proceedings of HLT-NAACL 2004: Short Papers
A new approach to automatic speech summarization
IEEE Transactions on Multimedia
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One of the basic problems of efficiently generating information-seeking dialogue in interactive question answering is to find the topic of an information-seeking question with respect to the answer documents. In this paper we propose an approach to solving this problem using concept clusters. Our empirical results on TREC collections and our ambiguous question collection shows that this approach can be successfully employed to handle ambiguous and list questions.