Adaptation in Dialogue Systems Workshop Program

MONDAY, JUNE 4
8:45 8:50 WELCOME
8:50 9:45 Invited Talk: Learning, Adaptation, and Personalization in Two (Very) Different Dialogue Systems
Michael Kearns
Adaptation in Interaction
9:45 10:10 Adaptive Processing in a Medical Intelligent Tutoring System
Reva Freedman, Byung-In Cho, Michael Glass, Yujian Zhou, Jung Hee Kim, Bruce Mills, Feng-Jen Yang and Martha Evens
10:30 10:55 A Decision-Theoretic Approach for Selecting Tutorial Discourse Actions
R. Charles Murray, Kurt VanLehn and Jack Mostow
10:55 11:20 Modeling Informational Novelty in a Conversational System with a Hybrid Statistical and Grammar-Based Approach to Surface Natural Language Generation
Adwait Ratnaparkhi
11:20 11:35 BREAK
11:35 12:25 PANEL
12:25 1:30 LUNCH
Adaptation via On-Line Inference
1:30 1:55 Real-time Handling of Fragmented Utterances
Linda Bell, Johan Boye and Joakim Gustafson
1:55 2:20 Initiative Management for Tutorial Dialogue
Mark G. Core, Johanna D. Moore and Claus W. Zinn
2:20 2:45 A Comparison of Classification Techniques for the Automatic Detection of Error Corrections in Human-Computer Dialogues
Katrin Kirchhoff
2:45 3:00 BREAK
Learning and Evaluation in Adaptive Dialogue Systems
3:00 3:25 Learning Task Models for Collaborative Discourse
Andrew Garland, Neal Lesh and Candace Sidner
3:25 3:50 The Impact of Syntactic and Planning Features on the Performance of a Trainable Sentence Planner
Monica Rogati, Marilyn A. Walker and Owen Rambow
3:50 4:15 Corpus-Based Dialogue Simulation for Automatic Strategy Learning and Evaluation
Konrad Scheffler and Steve Young
4:15 4:35 BREAK
Short Talks
4:35 4:42 Dialogue Pattern Generation Algorithm in Database Search Task
Masahiro Araki, Tasuku Ono, Kiyoshi Ueda, Takuya Nishimoto and Yasuhisa Niimi
4:42 4:49 Articulatory Adaptation in Multimodal Communicative Action
Melanie Baljko
4:49 4:56 Anticipatory Planning for Decision-Theoretic Grounding and Task Advancement in Mixed-Initiative Dialogue Systems
Rossana Damiano and David Traum
4:56 5:03 Dialogue as Decision Making Under Uncertainty: The Case of Mixed-Initiative AI Systems
Michael Fleming and Robin Cohen
5:03 5:10 Adaptive Modeling of Dialogue Initiative
Peter A. Heeman and Susan E. Strayer
5:10 5:17 Improving Spoken Dialogue System Performance via Adaptation
Diane J. Litman
5:17 5:24 A Corpus-Based Approach Towards Automatic Correction of Pitch Tracker Errors
Kathleen Murray
5:24 5:30 Machine Learning for User Modeling in Conversational Recommendation Systems
Cynthia A. Thompson