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Improving question-answering with linking dialogues

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Published:29 January 2006Publication History

ABSTRACT

Question-answering dialogue systems have found many applications in interactive learning environments. This paper is concerned with one such application for Army leadership training, where trainees input free-text questions that elicit pre-recorded video responses. Since these responses are already crafted before the question is asked, a certain degree of incoherence exists between the question that is asked and the answer that is given. This paper explores the use of short linking dialogues that stand in between the question and its video response to alleviate the problem of incoherence. We describe a set of experiments with human generated linking dialogues that demonstrate their added value. We then describe our implementation of an automated method for utilizing linking dialogues and show that these have better coherence properties than the original system without linking dialogues.

References

  1. Chih-Chung Chang, Chih-Jen Lin, LIBSVM: a library for support vector machines. 2001. http://www.csie.ntu.edu.tw/~cjlin/libsvmGoogle ScholarGoogle Scholar
  2. Gandhe, S., Gordon A., Leuski A., Traum D., Oard D., First steps towards linking dialogues: mediating between free-text questions and pre-recorded video answers. Army Science Conference, 2004.Google ScholarGoogle Scholar
  3. Graesser, A.C., Lang, K. L., and Roberts, R. M. Question answering in the context of stories. Journal of Experimental Psychology: General, (1991), 120(3).Google ScholarGoogle Scholar
  4. Hill, R. J., Gordon, A., and Kim, J., Learning the lessons of leadership experience: Tools for interactive case method analysis. In Proceedings of the Twenty-fourth Army Science Conference, 2004.Google ScholarGoogle Scholar

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  1. Improving question-answering with linking dialogues

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        cover image ACM Conferences
        IUI '06: Proceedings of the 11th international conference on Intelligent user interfaces
        January 2006
        392 pages
        ISBN:1595932879
        DOI:10.1145/1111449

        Copyright © 2006 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 29 January 2006

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        Overall Acceptance Rate746of2,811submissions,27%

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