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Probabilistic, Multi-staged Interpretation of Spoken Utterances

  • Ingrid Zukerman
  • Michael Niemann
  • Sarah George
  • Yuval Marom
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4304)

Abstract

We describe Scusi?, a multi-stage, spoken language interpretation mechanism designed to be part of a robot-mounted dialogue system. Scusi?’s interpretation process maps spoken utterances to conceptual graphs, and the nodes in these graphs to concepts in the world. Maximum posterior probability is used to rank the (partial) interpretations produced at each stage of this process.

Keywords

Speech Recognition Automatic Speech Recognition Parse Tree Semantic Interpretation Interpretation Process 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Niemann, M., George, S., Zukerman, I.: Towards a probabilistic, multi-layered spoken language interpretation system. In: Proceedings of the Fourth IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems, Edinburgh, Scotland, pp. 8–15 (2005)Google Scholar
  2. 2.
    Sowa, J.: Conceptual Structures: Information Processing in Mind and Machine. Addison-Wesley, Reading (1984)MATHGoogle Scholar
  3. 3.
    Sowa, J., Way, E.: Implementing a semantic interpreter using conceptual graphs. IBM Journal of Research and Development 30(1), 57–69 (1986)CrossRefGoogle Scholar
  4. 4.
    Shankaranarayanan, S., Cyre, W.: Identification of coreferences with conceptual graphs. In: ICCS 1994 – Proceedings of the Second International Conference on Conceptual Structures, College Park, Maryland (1994)Google Scholar
  5. 5.
    Miller, S., Stallard, D., Bobrow, R., Schwartz, R.: A fully statistical approach to natural language interfaces. In: ACL 1996 – Proceedings of the 34th Conference of the Association for Computational Linguistics, Santa Cruz, California, pp. 55–61 (1996)Google Scholar
  6. 6.
    He, Y., Young, S.: A data-driven spoken language understanding system. In: ASRU 2003 – Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, St. Thomas, US Virgin Islands (2003)Google Scholar
  7. 7.
    Gorniak, P., Roy, D.: Probabilistic grounding of situated speech using plan recognition and reference resolution. In: ICMI 2005 – Proceedings of the Seventh International Conference on Multimodal Interfaces, Trento, Italy (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Ingrid Zukerman
    • 1
  • Michael Niemann
    • 1
  • Sarah George
    • 1
  • Yuval Marom
    • 1
  1. 1.Faculty of Information TechnologyMonash UniversityClaytonAustralia

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