Advertisement

Using knowledge acquisition to build spoken language systems

  • Stefan Kaspar
  • Achim Hoffmann
Short Papers
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1319)

Abstract

The development of spoken language interfaces is of increasing importance due to the progress in speech recognition technology. Unfortunately, the development of comprehensive dialog system is still too labour-intensive to allow their widespread dissemination. This paper presents a new approach to the design of spoken language dialog systems. We view the design task as a knowledge acquisition and knowledge maintenance task. We developed a workbench, PIA, which allows continuous knowledge acquisition and maintenance without a knowledge engineer. It uses also the available data to produce suggestions of how to amend the current knowledge base to accommodate new cases of recorded dialog interactions. First experimental results with our workbench are promising.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Large vocabulary continuous speech recognition using HTK. In Proceedings of ICASSP, pages 125–128, 1994.Google Scholar
  2. 2.
    R. Cole et al. The challenge of spoken language systems:research directions for the ninties. IEEE Transactions on Speech and Audio Processing, 3:1–19, 1995.CrossRefGoogle Scholar
  3. 3.
    P. Compton and R. Jansen. A philosophical basis for knowledge acquisition. Knowledge Acquisition, 2:241–257, 1990.Google Scholar
  4. 4.
    P. Compton, B. Kang, P. Preston, and M. Mulholland. Knowledge acquisition without knowledge analysis. In Proceedings of the European Knowledge Acquisition Workshop, pages 277–299. Springer-Verlag, 1993.Google Scholar
  5. 5.
    J. Glass, G. Flammia, D. Goodine, M. Phillips, J. Polifroni, S. Sakai, S. Seneff, and V. Zue. Spoken-language understanding in the mit voyager system. Speech Communication, 17:1–18, 1995.CrossRefGoogle Scholar
  6. 6.
    R. S. Michalski. A theory and methodology of machine learning. Artificial Intelligence, 20:111–161, 1983.CrossRefGoogle Scholar
  7. 7.
    A. Newell. The knowledge level. Artificial Intelligence, 18:87–127, 1982.CrossRefGoogle Scholar
  8. 8.
    G. Schreiber, B. Wielinga, and J. Breuker. KADS A Principled Approach to Knowledge-Based System Development. Academic Press, 1993.Google Scholar
  9. 9.
    T. Schreiber, B. Wielinga, J. Akkermans, W. van de Velde, and R. de Hoog. CommonKADS: A comprehensive methodology for KBS. IEEE Expert, 9(6):28–37, 1994.CrossRefGoogle Scholar
  10. 10.
    S. Seneff, V. Zue, J. Polifroni, C. Pao, L. Hetherington, D. Goddeau, and J. Glass. PEGASUS: A spoken language interface for on-line air travel planning. Speech Communication, 15:331–340, 1994.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Stefan Kaspar
    • 1
  • Achim Hoffmann
    • 1
  1. 1.School of Computer Science and EngineeringUniversity of New South WalesSydneyAustralia

Personalised recommendations