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

title: Classification of public transport information dialogues using an information based coding scheme
author(s): Robert J. van Vark, J.P.M. de Vreught and Leon J.M. Rothkrantz
published in: 1997
appeared in: E. Maier, M. Mast, S. LuperFoy (Eds.)
ECAI Workshop on Dialogue Processing in Spoken Language Systems Lecture Notes in Artificial Intelligence (1236)
pages: 55-69
publisher: Springer-Verlag
PostScript (195 KB)

Abstract

The goal of a recently started research project of 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 the analysis.

Over 5000 dialogues were recorded and transliterated. Our coding scheme based on the 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.

 
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