Paper: Learning to Compose Effective Strategies from a Library of Dialogue Components

ACL ID P07-1100
Title Learning to Compose Effective Strategies from a Library of Dialogue Components
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2007
Authors

This paper describes a method for automat- ically learning effective dialogue strategies, generated from a library of dialogue content, using reinforcement learning from user feed- back. This library includes greetings, so- cial dialogue, chit-chat, jokes and relation- ship building, as well as the more usual clar- ification and verification components of dia- logue. We tested the method through a mo- tivational dialogue system that encourages take-up of exercise and show that it can be used to construct good dialogue strategies with little effort.