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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© 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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