8th Annual Conference of the International Speech Communication Association

Antwerp, Belgium
August 27-31, 2007

Using Information State to Improve Dialogue Move Identification in a Spoken Dialogue System

Hua Ai (1), Antonio Roque (2), Anton Leuski (2), David Traum (2)

(1) University of Pittsburgh, USA
(2) University of Southern California, USA

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.

Full Paper

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.