In this paper, we propose a dialogue model that reflects two important aspects of spoken dialogue system: to be 'robust' and to be 'cooperative'. For this purpose, our dialogue model has two main inference spaces. These are Conversational Space (CS) and Problem Solving Space (PSS). CS is a kind of dynamic Bayesian network that represents a meaning of utterance and general dialogue rule. CS treats a 'robust' aspect. Also, PSS is a network so called Event Hierarchy that represents the structure of task domain problems. PSS treats a 'cooperative' aspect. In constructing CS and making inference on PSS, system's process, from meaning understanding through response generation, is divided into five steps. From our point of view, we regard cooperative problem solving dialogue as a process of constructing CS and achieving goal in PSS through these five steps.
Cite as: Araki, M., Kawahara, T., Doshita, S. (1995) Cooperative spoken dialogue model using Bayesian network and event hierarchy. Proc. ESCA Workshop on Spoken Dialogue Systems, 177-180
@inproceedings{araki95_sds,
author={Masahiro Araki and Tatsuya Kawahara and Shuji Doshita},
title={{Cooperative spoken dialogue model using Bayesian network and event hierarchy}},
year=1995,
booktitle={Proc. ESCA Workshop on Spoken Dialogue Systems},
pages={177--180}
}