Generic dialogue modeling for multi-application dialogue systems

B.H.T. Bui Huu Trung, Jakob Zwiers, Antinus Nijholt, Mannes Poel

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    1 Citation (Scopus)
    66 Downloads (Pure)

    Abstract

    We present a novel approach to developing interfaces for multi-application dialogue systems. The targeted interfaces allow transparent switching between a large number of applications within one system. The approach, based on the Rapid Dialogue Prototyping Methodology (RDPM) and the Vector Space model techniques from Information Retrieval, is composed of three main steps: (1) producing finalized dia logue models for applications using the RDPM, (2) designing an application interaction hierarchy, and (3) navigating between the applications based on the user's application of interest.
    Original languageUndefined
    Title of host publicationProceedings of the 2nd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms
    EditorsS. Renals, S. Bengio
    Place of PublicationBerlin
    PublisherSpringer
    Pages174-186
    Number of pages12
    ISBN (Print)3-540-32549-2
    DOIs
    Publication statusPublished - 2006
    Event2nd International Workshop on Machine Learning for Multimodal Interaction, MLMI 2005 - Edinburgh, United Kingdom
    Duration: 11 Jul 200513 Jul 2005
    Conference number: MLMI

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer-Verlag
    Volume3869
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Workshop

    Workshop2nd International Workshop on Machine Learning for Multimodal Interaction, MLMI 2005
    CountryUnited Kingdom
    CityEdinburgh
    Period11/07/0513/07/05

    Keywords

    • EWI-8524
    • HMI-MI: MULTIMODAL INTERACTIONS
    • METIS-227366
    • IR-66716
    • HMI-SLT: Speech and Language Technology

    Cite this

    Bui Huu Trung, B. H. T., Zwiers, J., Nijholt, A., & Poel, M. (2006). Generic dialogue modeling for multi-application dialogue systems. In S. Renals, & S. Bengio (Eds.), Proceedings of the 2nd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms (pp. 174-186). [10.1007/11677482_15] (Lecture Notes in Computer Science; Vol. 3869). Berlin: Springer. https://doi.org/10.1007/11677482_15