
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.