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Generic Dialogue Modeling for Multi-application Dialogue Systems

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Machine Learning for Multimodal Interaction (MLMI 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3869))

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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, is composed of three main steps: (1) producing finalized dialogue 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.

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© 2006 Springer-Verlag Berlin Heidelberg

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Bui, T.H., Zwiers, J., Nijholt, A., Poel, M. (2006). Generic Dialogue Modeling for Multi-application Dialogue Systems. In: Renals, S., Bengio, S. (eds) Machine Learning for Multimodal Interaction. MLMI 2005. Lecture Notes in Computer Science, vol 3869. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11677482_15

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  • DOI: https://doi.org/10.1007/11677482_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-32549-9

  • Online ISBN: 978-3-540-32550-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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