[Elsnet-list] Final call for participation: AAAI workshop on Statistical and Empirical Approaches for Spoken Dialogue Systems

jdw at research.att.com jdw at research.att.com
Thu Jul 6 17:19:32 CEST 2006


[Apologies if you are receiving this more than once]


                     Final Call for participation

                         AAAI Workshop on 
                Statistical and Empirical Approaches 
                    for Spoken Dialogue Systems

                   Boston, Massachusetts, USA
               Seaport Hotel and World Trade Center

                          17 July 2006

               http://mi.eng.cam.ac.uk/~jdw30/AAAI/


Participation is invited for the AAAI Workshop on Statistical and Empirical Approaches for Spoken Dialogue Systems, to be held in Boston, Massachusetts, USA at the Seaport Hotel and World Trade Center on 17 July 2006.

The technical program is listed below.

On-site registration for the main AAAI conference and workshops is available in the upper level of the Seaport World Trade Center, beginning Sunday, July 16. On-site registration is open from 7:30am - 6:00pm both Sunday 16 July and Monday 17 July.  For more information about registration, see http://www.aaai.org/Conferences/AAAI/aaai06.php, or email the workshop organizers.

Kind regards,
Jason Williams
on behalf of organizers

TECHNICAL PROGRAM

Keynote
Satinder Singh

Comparing Real-Real, Simulated-Simulated, and Simulated-Real Spoken Dialogue
Corpora Hua Ai and Diane Litman

Efficient Planning and Tracking in POMDPs with Large Observation Spaces 
Amin Atrash and Joelle Pineau

A "k hypotheses + other" Belief Updating Model
Dan Bohus and Alex Rudnicky

Learning Decision Models in Spoken Dialogue Systems Via User Simulation 
Ed Filisko and Stephanie Seneff

Managing Unseen Situations in a Stochastic Dialog Model 
David Griol, Lluis F. Hurtado, Encarna Segarra, and Emilio Sanchis

Dialogue Strategy Optimization with Reinforcement Learning in an AT&T Call Routing Application 
Charles Lewis and Giuseppe Di Fabbrizio

Scaling POMDPs for Dialogue Management with Composite Summary Point-Based Value Iteration (CSPBVI) 
Jason D. Williams and Steve Young

Modeling the Dative Alternation with Automatically Extracted Features 
Huayan Zhong, Amanda Stent, and Mary Swift


TECHNICAL COMMITTEE 

    Alex Acero, Microsoft
    Jan Alexandersson, DFKI GmbH, Germany
    Grace Chung, MIT, USA
    Stephen Cox, University of East Anglia, UK
    Nils Dahlbäck, Linköping University, Sweden
    Matthias Denecke, NTT Computer Science Laboratories, Japan
    Guiseppe di Fabbrizio, AT&T Research, USA
    James Glass, MIT, USA
    Dilek Hakkani-Tur, AT&T Research, USA
    Eric Horvitz, Microsoft Research, USA
    Mark Huckvale, UCL 
    Arne Jönsson, Linköping University, Sweden
    Kazunori Komatani, Kyoto University, Japan
    Staffan Larsson, Göteborgs Universitet, Sweden
    Ramón López-Cózar Delgado, University of Granada, Spain
    Michael McTear, University of Ulster, UK
    Mikio Nakano, Honda Research Institute, Japan
    Joelle Pineau, McGill University, Canada
    Joe Polifroni, University of Sheffield, UK
    Pascal Poupart, University of Waterloo
    Manny Rayner, NASA, USA
    Norbert Reithinger, DFKI, Germany
    Steve Renals, Edinburgh
    Nick Roy, MIT, USA
    Alex Rudnicky, Carnegie Mellon University, USA
    Stephanie Seneff, Massachusetts Institute of Technology
    Candice Sidner, MERL, USA
    Joel Tetreault, University of Pittsburg
    Gokhan Tur, AT&T Research, USA
    Steve Young, University of Cambridge
    Ingrid Zukerman, Monash University, Australia

ORGANIZERS 

    Pascal Poupart, University of Waterloo 
    ppoupart [at] cs [dot] uwaterloo [dot] ca 

    Stephanie Seneff, Massachusetts Institute of Technology 
    seneff [at] csail [dot] mit [dot] edu 

    Jason D. Williams, University of Cambridge 
    jdw [at] research [dot] att [dot] com

    Steve Young, University of Cambridge 
    sjy [at] eng [dot] cam [dot] ac [dot] uk 

ADDITIONAL INFORMATION

For additional information please contact:

    Jason Williams 
    jdw [at] research [dot] att [dot] com
    Phone: +1 973 360 8138
    AT&T Labs - Research
    180 Park Ave
    Florham Park, NJ  07932
    USA



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