Adaptive Tutorial Dialogue Systems Using Deep NLP Techniques

Myroslava O. Dzikovska, Charles B. Callaway, Elaine Farrow, Manuel Marques-Pita, Colin Matheson, Johanna D. Moore

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    We present tutorial dialogue systems in two different domains that demonstrate the use of dialogue management and deep natural language processing techniques. Generation techniques are used to produce natural sounding feedback adapted to student performance and the dialogue history, and context is used to interpret tentative answers phrased as questions.
    Original languageEnglish
    Title of host publicationProceedings of Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations
    EditorsCandace L. Sidner, Tanja Schultz, Matthew Stone, ChengXiang Zhai
    Place of PublicationRochester
    PublisherAssociation for Computational Linguistics
    Pages5-6
    Number of pages2
    Publication statusPublished - Apr 2007
    EventHuman Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics - Rochester, New York, United States
    Duration: 22 Apr 200727 Apr 2007

    Conference

    ConferenceHuman Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics
    Abbreviated titleNAACL-HLT 2007
    CountryUnited States
    CityRochester, New York
    Period22/04/0727/04/07

    Fingerprint Dive into the research topics of 'Adaptive Tutorial Dialogue Systems Using Deep NLP Techniques'. Together they form a unique fingerprint.

  • Cite this

    Dzikovska, M. O., Callaway, C. B., Farrow, E., Marques-Pita, M., Matheson, C., & Moore, J. D. (2007). Adaptive Tutorial Dialogue Systems Using Deep NLP Techniques. In C. L. Sidner, T. Schultz, M. Stone, & C. Zhai (Eds.), Proceedings of Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations (pp. 5-6). Association for Computational Linguistics. http://www.aclweb.org/anthology-new/N/N07/N07-4003.pdf