Paper: A Bayesian Approach For User Modeling In Dialogue Systems

ACL ID C94-2197
Title A Bayesian Approach For User Modeling In Dialogue Systems
Venue International Conference on Computational Linguistics
Session Main Conference
Year 1994
Authors

User modeling is an iml>ortant COlnponents of dia- log systems. Most previous approaches are rule-based methods, hi this paper, we proimse to represent user models through Bayesian networks. Some advantages of the Bayesian approach over the rule-based approach are as follows. First, rules for updating user models are not necessary because upility theory; this provides us a more formal way of dealing with uncertainties. Second, the Bayesian network pro: rides more detailed information of users' knowledge, because the degree of belief on each concept is pro- vided in terms of prol~ability. We prove these advan- tages through a prelinfinary experiment.