In this paper we investigate how to improve the performance of a dialogue move and parameter tagger for a task-oriented dialogue system using the information-state approach. We use a corpus of utterances and information states from an implemented system to train and evaluate a tagger, and then evaluate the tagger in an on-line system. Use of information state context is shown to improve performance of the system.
Bibliographic reference. Ai, Hua / Roque, Antonio / Leuski, Anton / Traum, David (2007): "Using information state to improve dialogue move identification in a spoken dialogue system", In INTERSPEECH-2007, 154-157.