Abstract
The main topic of this paper is on modelling a human operator in the dialogue manager of the Alparon system. First, a corpus of 200 human-human dialogues have been analysed by applying an approach surpassing a finite state automation approach. The corpus analysis resulted in a set of common strategies applied by professional human operators in similar situations. Secondly, a prototype system has been built based on the Alparon dialogue manager. This has been done by translating the strategies into knowledge rules and heuristics as these are used by the dialogue control modules in the Alparon dialogue manager.
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M.M.M. Rats, R.J. van Vark, and J.P.M. de Vreught. Corpus-based information presentation for a spoken public transport information system. In ACL/EACL Workshop on Interactive Spoken Dialog Systems: Bringing Speech and NLP Together in Real Applications, pp. 106–113, 1997.
R.J. van Vark, J.P.M. de Vreught, and L.J.M. Rothkrantz. Classification of public transport information dialogues using an information based coding scheme. Dialogue Processing in Spoken Language Systems, Lecture Notes in Artificial Intelligence (1236), pp. 55–69, 1997.
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© 2000 Springer-Verlag Berlin Heidelberg
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Rothkrantz, L.J.M., van Vark, R.J., Peters, A., Andeweg, N.A. (2000). Dialogue Control in the Alparon System. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2000. Lecture Notes in Computer Science(), vol 1902. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45323-7_56
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DOI: https://doi.org/10.1007/3-540-45323-7_56
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