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Classification of public transport information dialogues using an information based coding scheme

  • Foundations of Spoken Language Dialouge System Design
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Dialogue Processing in Spoken Language Systems (DPSLS 1996)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1236))

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Abstract

The goal of a recently started research project of Openbaar Vervoer Reisinformatie (OVR) is to develop a system to automate part of its dialogues now held by human operators at its call centres. To achieve a well thought-out design of such a system both an analysis of the current human-human dialogues and an experiment determining which form of dialogues would be favoured by humans were started. In this paper we will emphasize on the analysis.

Over 5000 dialogues were recorded and transliterated. Our coding scheme based on information components has been derived from this set. The coding scheme was applied to a sample of nearly 500 dialogues. Not only are we able to describe the semantics of the utterances in a dialogue, but we are also able to classify the dialogues with respect to their difficulty for an automated speech processing system.

This research was funded by Openbaar Vervoer Reisinformatie (OVR) and Senter.

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References

  1. J. Alexandersson and N. Reithinger. Designing the dialogue component in a speech translation system, A corpus based approach. In Corpus-based Approaches to Dialogue Modelling, 9th Twente Workshop on Language Technology, pages 35–43. University of Twente, 1995.

    Google Scholar 

  2. H.C. Bunt. Dynamic interpretation and dialogue theory. In The Structure of Multimodal Dialogue, volume 2. John Benjamins Publishing Company, Amsterdam, 1995.

    Google Scholar 

  3. J. Carletta, A. Isard, S. Isard, J. Kowtko, G. Doherty-Sneddon, and A. Anderson. The coding of dialogue structure in a corpus. In Corpus-based Approaches to Dialogue Modelling, 9th Twente Workshop on Language Technology, pages 25–34. University of Twente, 1995.

    Google Scholar 

  4. P.R. Cohen. Models of dialogue. In Cognitive Processing for Vision & Voice, 4th NEC Research Symposium, pages 181–204. NEC & SIAM, 1994.

    Google Scholar 

  5. N. Dahlbäck. Kinds of agents and types of dialogues. In Corpus-based Approaches to Dialogue Modelling, 9th Twente Workshop on Language Technology, pages 1–11. University of Twente, 1995.

    Google Scholar 

  6. D. van der Ende. Robust parsing: An overview. Technical Report Memoranda Informatica 95-03, University of Twente, Department of Computer Science, 1995.

    Google Scholar 

  7. E. Keller, editor. Fundamentals of Speech Synthesis and Speech Recognition, Basic Concepts, State-of-the-Art and Future Challenges. John Wiley & Sons, 1994.

    Google Scholar 

  8. R. Kiezebrink and J.P.M. de Vreught. An annotated bibliography on robust parsing and related topics. Technical Report CS 96-58, Delft University of Technology, 1996.

    Google Scholar 

  9. M. Oerder and H. Aust. A realtime prototype of an automatic inquiry system. In International Conference on Spoken Language Processing, pages 703–706, 1994.

    Google Scholar 

  10. M.M.M. Rats. Topic Management in Information Dialogues. Ph.D. thesis, Tilburg University, 1996.

    Google Scholar 

  11. L.J.M. Rothkrantz, R.J. van Vark, J.P.M. de Vreught, J.W.A. van Wees, and H. Koppelaar. Automatische spraakherkenning en OVR-dialogen. Technical report, Delft University of Technology, Knowledge Based Systems, 1996. in Dutch.

    Google Scholar 

  12. M. Seligman, J. Hosaka, and H. Singer. “Pause Units” and analysis of spontaneous Japanese dialogues: Preliminary studies. In Workshop Dialogue Processing in Spoken Language Systems, European Conference on Artificial Intelligence, 1996.

    Google Scholar 

  13. R.J. van Vark, J.P.M. de Vreught, and L.J.M. Rothkrantz. Analysing OVR dialogues, coding scheme 1.0. Technical Report CS 96-137, Delft University of Technology, 1996.

    Google Scholar 

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Elisabeth Maier Marion Mast Susann LuperFoy

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© 1997 Springer-Verlag Berlin Heidelberg

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van Vark, R.J., de Vreught, J.P.M., Rothkrantz, L.J.M. (1997). Classification of public transport information dialogues using an information based coding scheme. In: Maier, E., Mast, M., LuperFoy, S. (eds) Dialogue Processing in Spoken Language Systems. DPSLS 1996. Lecture Notes in Computer Science, vol 1236. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63175-5_37

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  • DOI: https://doi.org/10.1007/3-540-63175-5_37

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63175-0

  • Online ISBN: 978-3-540-69206-5

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