Jason Williams

Jason Williams
RESEARCHER
.

Research Interests

  • Dialog management: Applications of machine learning; integration of expert knowledge; multi-modal dialog management; planning techniques; on-line improvement
  • Dialog and user modeling: Tracking and quantifying uncertainty in dialog state for human/computer dialog; representational structures for dialog state; ontology integration; simulation
  • Turn-taking: Use of continuous/incremental speech recognition for turn-taking; integration of conversation history and user model for turn-taking
  • Confidence scoring: Machine-learning-based approaches to confidence scoring; calibration in confidence scoring; features for confidence scoring
  • Planning under uncertainty: Markov decision processes (MDPs); partially observable Markov decision processes (POMDPs); reinforcement learning.

Experience

  • Microsoft Research, Researcher, 2012-Present
  • AT&T Labs Research, Principal Member of Technical Staff, 2006-2012
  • Cambridge University, Ph D, Engineering Dept, 2002-2006
  • Edify Corp, Senior consultant - Usability and Speech Technology, 2002-2005
  • Tellme Networks, Voice Application Development Manager, 2000-2001
  • McKinsey & Company, Associate, 1999-2000
  • Cambridge University, Masters, Speech/Language Processing, 1998-1999
  • Princeton University, BSE, Electrical Engineering, 1994-1998

Dialog State Tracking Challenge

The Dialog State Tracking Challenge (DSTC) is a research community challenge task for accurately estimating a user's goal in a spoken dialog system.  DSTC homepage.

Educational Materials
Publications and invited talks

    2013

    2012

    2011

    2010

    2009

    2008

    2007

    2006

    2005

    2004

    2003

    Thesis
    Software

    AT&T Statistical Dialog Toolkit (ASDT): Softare for tracking a distribution over a large number of hidden states in a spoken dialog systems. Available under license agreement from AT&T Labs Research.

    Research awards
    • SigDial Best student paper award: 2011
    • ISCA award for best paper in Computer Speech and Language, for the period 2005-2009: 2010
    • AT&T Key Contributor award: 2010, 2009
    • AT&T Intellectual Property achievement award: 2010
    • AT&T Labs President Excellence Award: 2010
    • AT&T Labs Research excellence award: 2007
    • AVIOS Best paper award: 2003
    Interns (current and former)

    Angeliki Metallinou, Summer 2012.
    Belief tracking in dialog systems.
    Currently a PhD student with Shrikanth Narayanan, University of Southern California.

    Ethan Selfridge, Summer 2010 and 2011 at AT&T.
    Turn-taking in dialog systems.
    Currently a PhD student with Peter Heeman, Oregon Health & Science University.

    Hamid Chinaei, Summer 2010 at AT&T.
    Reinforcement learning for dialog systems.
    Currently a PhD student with Brahim Chaib-draa, Laval University.

    John Asmuth, Summer 2009 at AT&T.
    Bayesian approaches to reinforcement learning.
    Currently a PhD student with Michael Littman, Rutgers University.

    Lihong Li, Summer 2008 at AT&T.
    Feature selection in reinforcement learning.
    Currently a Researcher with Microsoft Research.

    Umar Syed, Summer 2007 at AT&T.
    Learning user models from unlabeled data.
    Currently a research scientist at Google.

    Thesis committees

    Ethan Selfridge, Oregon Health & Science University (in progress)

    Rohit Kumar, Carnegie Melon University (2011).

    Patents

    8010364: System and method for applying probability distribution models to dialog systems in the troubleshooting domain

    [ + 10 more patent application filed with the US Patent Office ]

    Appointments, editor, and organizer roles
    Journal reviewing and grant panelist
    Conference program committees and reviewing
    • IUI reviewer: 2013.
    • CHI reviewer: 2013.
    • INTERSPEECH Scientific Review Committee: 2013, 2012, 2011.
    • SIGDIAL program committee: 2013, 2012, 2011, 2010, 2009, 2008, 2007.
    • ASRU Workshop program committee: 2011, 2009, 2007.
    • EACL scientific review committee: 2012, 2009.
    • ACL program committee: 2013, 2012, 2011.
    • ACL demo committee: 2011.
    • NAACL reviewer: 2012, 2009, 2007.
    • IJCAI program committee: 2011, 2009, 2007.
    • EMNLP program committee: 2009, 2008, 2006
    • NIPS reviewer: 2010.
    • ICASSP reviewer: 2013, 2012, 2011, 2010, 2009, 2008, 2007.
    • SLAM: Joint ISCA/IEEE International Workshop on Speech, Language and Audio in Multimedia: 2013.
    • ECAI/IJCAI Workshop on Machine Learning for Interactive Systems (MLIS): 2013, 2012
    • IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems program committee: 2013, 2011, 2009.
    • IEEE Workshop on Spoken Language Technology (SLTC) technical program committee: 2012, 2010, 2008.
    • COLING Workshop: Spoken language technologies for pervasive speech-based and multimodal applications program committee: 2008
    • Young researchers' roundtable on spoken dialogue systems advisory board: 2013, 2012, 2011, 2010, 2009, 2006.
    • Workshop on Future directions and needs in the Spoken Dialog Community: Tools and Data scientific committee: 2012.
    • ECAI Workshop on Machine Learning for Interactive Systems: 2012

    Contact

    jason.williams@microsoft.com

    Tel: +1.425.703.7561

    Fax: +1.425.936.7329
    On fax, include: ATTN: JAWILLIA

    Jason Williams
    ATTN: JAWILLIA
    Microsoft Corporation
    One Microsoft Way
    Redmond, WA  98052-6399
    USA

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