A Reinforcement Learning approach to evaluating state representations in spoken dialogue systems

Although dialogue systems have been an area of research for decades, finding accurate ways of evaluating different systems is still a very active subfield since many leading methods, such as task completion rate or user satisfaction, capture different aspects of the end-to-end human

• Type: Journal
• Year: 2008
• Where: SPEECH
• Authors: Joel R. Tetreault, Diane J. Litman
• Keywords: Dialogue, Dialogue Manager, Dialogue Systems, SPEECH 2008