Paper: The Hidden Information State Dialogue Manager: A Real-World POMDP-Based System

ACL ID N07-4014
Title The Hidden Information State Dialogue Manager: A Real-World POMDP-Based System
Venue Human Language Technologies
Session Main Conference
Year 2007
Authors

The Hidden Information State (HIS) Dialogue System is the first trainable and scalable implementation of a spoken dialog system based on the Partially- Observable Markov-Decision-Process (POMDP) model of dialogue. The system responds to n-best output from the speech recogniser, maintains multiple concurrent dialogue state hypotheses, and provides a visual display showing how competing hypotheses are ranked. The demo is a prototype application for the Tourist Information Domain and achieved a task completion rate of over 90% in a recent user study. 1 Partially Observable Markov Decision Processes for Dialogue Systems Recent work on statistical models for spoken di- alogue systems has argued that Partially Observ- able Markov Decision Processes (POMDPs) provide a principled mathematical fram...