World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
9979
World Ranking
9115
National Ranking
3874

Overview

Jason D. Williams is affiliated with Apple in the United States and primarily works within the field of Computer Science. Their research spans multiple subfields, including Artificial Intelligence, Experimental and Cognitive Psychology, Information Systems and Management, Oceanography, and Information Systems.

Their work covers a range of topics such as AI in Service Interactions, Cognitive Functions and Memory, Personal Information Management and User Behavior, Speech and Dialogue Systems, Topic Modeling, Natural Language Processing Techniques, and Marine Biology and Ecology Research.

They have published several papers, including:

  • Conversational Semantic Parsing for Dialog State Tracking, 2020, arXiv (Cornell University)
  • Intelligent Assistant Language Understanding On Device, 2023, arXiv (Cornell University)
  • Morphological and molecular investigation of Scolelepis agilis (Verrill, 1873) (Annelida: Spionidae) from beaches of the Atlantic coast of North America, 2024, African Zoology
  • Improving Human-Labeled Data through Dynamic Automatic Conflict Resolution, 2020, arXiv (Cornell University)
  • Feedback Effect in User Interaction with Intelligent Assistants: Delayed Engagement, Adaption and Drop-out, 2023, arXiv (Cornell University)

Frequent co-authors of Jason D. Williams include David Sun, Hadas Kotek, Zidi Xiu, Christopher J. Klein, and Stephen Pulman.

The major venues for their publications consist of:

  • arXiv (Cornell University)
  • African Zoology
  • PubMed
  • Caribbean Journal of Science
  • Systematic Parasitology

Best Publications

  • Partially observable Markov decision processes for spoken dialog systems

    Jason D. Williams;Steve Young

  • POMDP-Based Statistical Spoken Dialog Systems: A Review

    S. Young;M. Gasic;B. Thomson;J. D. Williams

  • Recent advances in deep learning for speech research at Microsoft

    Li Deng;Jinyu Li;Jui-Ting Huang;Kaisheng Yao

  • The Second Dialog State Tracking Challenge

    Matthew Henderson;Blaise Thomson;Jason D Williams

  • The Dialog State Tracking Challenge

    Jason Williams;Antoine Raux;Deepak Ramachandran;Alan Black

  • The Second Conversational Intelligence Challenge (ConvAI2)

    Emily Dinan;Varvara Logacheva;Valentin Malykh;Alexander H. Miller

  • The Dialog State Tracking Challenge Series

    Jason D. Williams;Matthew Henderson;Antoine Raux;Blaise Thomson

  • Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning

    Jason D Williams;Kavosh Asadi;Geoffrey Zweig

  • System and method for using alternate recognition hypotheses to improve whole-dialog understanding accuracy

    Jason Williams

  • Taxonomy based on science is necessary for global conservation

    Scott A. Thomson;Richard L. Pyle;Shane T Ahyong;Shane T Ahyong;Miguel A. Alonso-Zarazaga

  • Squares: Supporting Interactive Performance Analysis for Multiclass Classifiers

    Donghao Ren;Saleema Amershi;Bongshin Lee;Jina Suh

  • The Dialog State Tracking Challenge Series: A Review

    Jason D. Williams;Antoine Raux;Matthew Henderson

  • The third Dialog State Tracking Challenge

    Matthew Henderson;Blaise Thomson;Jason D. Williams

  • Factored partially observable Markov decision processes for dialogue management

    J Williams;P Poupart;SJ Young

  • End-to-end LSTM-based dialog control optimized with supervised and reinforcement learning.

    Jason D. Williams;Geoffrey Zweig

  • Web-style ranking and SLU combination for dialog state tracking

    Jason D Williams

  • Scaling POMDPs for Spoken Dialog Management

    J.D. Williams;S. Young

  • PARTIALLY OBSERVABLE MARKOV DECISION PROCESSES WITH CONTINUOUS OBSERVATIONS FOR DIALOGUE MANAGEMENT

    Jason D. Williams;Pascal Poupart;Steve J. Young

  • System and method for advanced turn-taking for interactive spoken dialog systems

    Jason D. Williams;Ethan Selfridge

  • The Fourth Dialog State Tracking Challenge.

    Seokhwan Kim;Luis Fernando D'Haro;Rafael E. Banchs;Jason D. Williams

  • POMDP-Based Statistical Spoken Dialog Systems: A Review This paper presents the theory and practice of belief tracking, policy optimization, parameter estimation, and fast learning.

    Steve Young;Milica Gasic;Blaise Thomson;Jason D. Williams

Frequent Co-Authors

Christopher B. Boyko
Christopher B. Boyko American Museum of Natural History
Steve Young
Steve Young University of Cambridge
Geoffrey Zweig
Geoffrey Zweig Facebook (United States)
Alan W. Black
Alan W. Black Carnegie Mellon University
Pascal Poupart
Pascal Poupart University of Waterloo
Stephen Pulman
Stephen Pulman University of Oxford
Maxine Eskenazi
Maxine Eskenazi Carnegie Mellon University
Joelle Pineau
Joelle Pineau McGill University
Shane T. Ahyong
Shane T. Ahyong Australian Museum
Milica Gasic
Milica Gasic Heinrich Heine University Düsseldorf

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