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Learning to Compose Effective Strategies from a Library of Dialogue Components

By Martijn Spitters, Marco De, Boni Jakub and Zavrel Remko Bonnema

Abstract

This paper describes a method for automatically learning effective dialogue strategies, generated from a library of dialogue content, using reinforcement learning from user feedback. This library includes greetings, social dialogue, chit-chat, jokes and relationship building, as well as the more usual clarification and verification components of dialogue. We tested the method through a motivational dialogue system that encourages take-up of exercise and show that it can be used to construct good dialogue strategies with little effort.

Year: 2009
OAI identifier: oai:CiteSeerX.psu:10.1.1.143.3922
Provided by: CiteSeerX
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