Paper: An ISU Dialogue System Exhibiting Reinforcement Learning Of Dialogue Policies: Generic Slot-Filling In The Talk In-Car System

ACL ID E06-2009
Title An ISU Dialogue System Exhibiting Reinforcement Learning Of Dialogue Policies: Generic Slot-Filling In The Talk In-Car System
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session System Demonstration
Year 2006
Authors

Wedemonstrateamultimodaldialoguesystem using reinforcement learning for in-car sce- narios, developed at EdinburghUniversity and Cambridge University for the TALK project1. This prototype is the first “Information State Update”(ISU) dialoguesystemto exhibitrein- forcement learning of dialogue strategies, and also has a fragmentary clarification feature. Thispaperdescribesthemaincomponentsand functionality of the system, as well as the pur- posesandfutureuseofthesystem,andsurveys theresearchissuesinvolvedin itsconstruction. Evaluation of this system (i.e. comparing the baselinesystem with handcodedvs. learntdia- logue policies) is ongoing, and the demonstra- tion will show both.