Preference, perception, and task completion of open, menu-based, and directed prompts for call routing: a case study. - Jason D. Williams; Andrew T. Shaw; Lawrence Piano; Michael Abt (INTERSPEECH, 2003)

Two studies of open vs. directed dialog strategies in spoken dialog systems. - Silke M. Witt; Jason D. Williams (INTERSPEECH, 2003)

Using Wizard-of-Oz simulations to bootstrap Reinforcement - Learning based dialog management systems. - Jason D. Williams; Steve J. Young (SIGDIAL Workshop, 2003)

A framework for dialogue data collection with a simulated ASR channel. - Matthew N. Stuttle; Jason D. Williams; Steve J. Young (INTERSPEECH, 2004)

Characterizing task-oriented dialog using a simulated ASR chanel. - Jason D. Williams; Steve J. Young (INTERSPEECH, 2004)

A Comparison of Dialog Strategies for Call Routing. - Jason D. Williams; Silke M. Witt (Int. J. Speech Technol., 2004)

Partially Observable Markov Decision Processes with Continuous Observations for Dialogue Management. - Jason D. Williams; Pascal Poupart; Steve J. Young (SIGDIAL Workshop, 2005)

Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program. - Wolfgang Achtner; Esma Aïmeur; Sarabjot Singh Anand; Douglas E. Appelt; Naveen Ashish; Tiffany Barnes; Joseph E. Beck; M. Bernardine Dias; Prashant Doshi; Chris Drummond; William Elazmeh; Ariel Felner; et al. (AI Mag., 2006)

Using particle filters to track dialogue state. - Jason D. Williams (ASRU, 2007)

A method for evaluating and comparing user simulations: The Cramér-von Mises divergence. - Jason D. Williams (ASRU, 2007)

Partially observable Markov decision processes for spoken dialog systems. - Jason D. Williams; Steve J. Young (Comput. Speech Lang., 2007)

Scaling POMDPs for Spoken Dialog Management. - Jason D. Williams; S. Young (IEEE Trans. Speech Audio Process., 2007)

Using Automatically Transcribed Dialogs to Learn User Models in a Spoken Dialog System. - Umar Syed; Jason D. Williams (ACL (2), 2008)

Demonstration of a POMDP Voice Dialer. - Jason D. Williams (ACL (Demo Papers), 2008)

Exploiting the ASR n-best by tracking multiple dialog state hypotheses. - Jason D. Williams (INTERSPEECH, 2008)

The best of both worlds: unifying conventional dialog systems and POMDPs. - Jason D. Williams (INTERSPEECH, 2008)

Evaluating user simulations with the Cramér-von Mises divergence. - Jason D. Williams (Speech Commun., 2008)

Spoken dialogue systems: Challenges, and opportunities for research. - Jason D. Williams (ASRU, 2009)

Reinforcement learning for dialog management using least-squares Policy iteration and fast feature selection. - Lihong Li 001; Jason D. Williams; Suhrid Balakrishnan (INTERSPEECH, 2009)

Estimating Probability of Correctness for ASR N-Best Lists. - Jason D. Williams; Suhrid Balakrishnan (SIGDIAL Conference, 2009)

Incremental partition recombination for efficient tracking of multiple dialog states. - Jason D. Williams (ICASSP, 2010)

Demonstration of AT&T "Let's Go": A production-grade statistical spoken dialog system. - Jason D. Williams; Iker Arizmendi; Alistair Conkie (SLT, 2010)

Crowd-sourcing for difficult transcription of speech. - Jason D. Williams; I. Dan Melamed; Tirso Alonso; Barbara Hollister; Jay G. Wilpon (ASRU, 2011)

Spoken Dialog Challenge 2010: Comparison of Live and Control Test Results. - Alan W. Black; Susanne Burger; Alistair Conkie; Helen Wright Hastie; Simon Keizer; Oliver Lemon; Nicolas Merigaud; Gabriel Parent; Gabriel Schubiner; Blaise Thomson; Jason D. Williams; Kai Yu 004; et al. (SIGDIAL Conference, 2011)

Stability and Accuracy in Incremental Speech Recognition. - Ethan Selfridge; Iker Arizmendi; Peter A. Heeman; Jason D. Williams (SIGDIAL Conference, 2011)

An Empirical Evaluation of a Statistical Dialog System in Public Use. - Jason D. Williams (SIGDIAL Conference, 2011)

A belief tracking challenge task for spoken dialog systems. - Jason D. Williams (SDCTD@NAACL-HLT, 2012)

Integrating Incremental Speech Recognition and POMDP-Based Dialogue Systems. - Ethan Selfridge; Iker Arizmendi; Peter A. Heeman; Jason D. Williams (SIGDIAL Conference, 2012)

A critical analysis of two statistical spoken dialog systems in public use. - Jason D. Williams (SLT, 2012)

Challenges and Opportunities for State Tracking in Statistical Spoken Dialog Systems: Results From Two Public Deployments. - Jason D. Williams (IEEE J. Sel. Top. Signal Process., 2012)

Introduction to the Issue on Advances in Spoken Dialogue Systems and Mobile Interface. - Jason D. Williams; Kai Yu 004; Brahim Chaib-draa; Oliver Lemon; Roberto Pieraccini; Olivier Pietquin; Pascal Poupart; Steve J. Young (IEEE J. Sel. Top. Signal Process., 2012)

Trends in Speech and Language Processing [In the Spotlight]. - Junlan Feng; Bhuvana Ramabhadran; John H. L. Hansen; Jason D. Williams (IEEE Signal Process. Mag., 2012)

Discriminative state tracking for spoken dialog systems. - Angeliki Metallinou; Dan Bohus; Jason D. Williams (ACL (1), 2013)

Recent advances in deep learning for speech research at Microsoft. - Li Deng 001; Jinyu Li 001; Jui-Ting Huang; Kaisheng Yao; Dong Yu 001; Frank Seide; Michael L. Seltzer; Geoffrey Zweig; Xiaodong He 001; Jason D. Williams; Yifan Gong 001; Alex Acero (ICASSP, 2013)

Continuously Predicting and Processing Barge-in During a Live Spoken Dialogue Task. - Ethan Selfridge; Iker Arizmendi; Peter A. Heeman; Jason D. Williams (SIGDIAL Conference, 2013)

Multi-domain learning and generalization in dialog state tracking. - Jason D. Williams (SIGDIAL Conference, 2013)

The Dialog State Tracking Challenge. - Jason D. Williams; Antoine Raux; Deepak Ramachandran; Alan W. Black (SIGDIAL Conference, 2013)

POMDP-Based Statistical Spoken Dialog Systems: A Review. - Steve J. Young; Milica Gasic; Blaise Thomson; Jason D. Williams (Proc. IEEE, 2013)

Discovering Latent Structure in Task-Oriented Dialogues. - Ke Zhai 001; Jason D. Williams (ACL (1), 2014)

The Second Dialog State Tracking Challenge. - Matthew Henderson; Blaise Thomson; Jason D. Williams (SIGDIAL Conference, 2014)

Web-style ranking and SLU combination for dialog state tracking. - Jason D. Williams (SIGDIAL Conference, 2014)

The third Dialog State Tracking Challenge. - Matthew Henderson; Blaise Thomson; Jason D. Williams (SLT, 2014)

Temporal supervised learning for inferring a dialog policy from example conversations. - Lihong Li 001; He He 001; Jason D. Williams (SLT, 2014)

The Dialog State Tracking Challenge Series. - Jason D. Williams; Matthew Henderson; Antoine Raux; Blaise Thomson; Alan W. Black; Deepak Ramachandran (AI Mag., 2014)

Rapidly Scaling Dialog Systems with Interactive Learning. - Jason D. Williams; Nobal B. Niraula; Pradeep Dasigi; Aparna Lakshmiratan; Carlos Garcia Jurado Suarez; Mouni Reddy; Geoffrey Zweig (IWSDS, 2015)

Fast and easy language understanding for dialog systems with Microsoft Language Understanding Intelligent Service (LUIS). - Jason D. Williams; Eslam Kamal; Mokhtar Ashour; Hani Amr; Jessica Miller; Geoffrey Zweig (SIGDIAL Conference, 2015)

The Fourth Dialog State Tracking Challenge. - Seokhwan Kim; Luis Fernando D'Haro; Rafael E. Banchs; Jason D. Williams; Matthew Henderson (IWSDS, 2016)

The fifth dialog state tracking challenge. - Seokhwan Kim; Luis Fernando D'Haro; Rafael E. Banchs; Jason D. Williams; Matthew Henderson; Koichiro Yoshino (SLT, 2016)

Sample-efficient Deep Reinforcement Learning for Dialog Control. - Kavosh Asadi; Jason D. Williams (CoRR, 2016)

End-to-end LSTM-based dialog control optimized with supervised and reinforcement learning. - Jason D. Williams; Geoffrey Zweig (CoRR, 2016)

Introduction to the Special Issue on Dialogue State Tracking. - Jason D. Williams; Antoine Raux; Matthew Henderson (Dialogue Discourse, 2016)

The Dialog State Tracking Challenge Series: A Review. - Jason D. Williams; Antoine Raux; Matthew Henderson (Dialogue Discourse, 2016)

Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning. - Jason D. Williams; Kavosh Asadi; Geoffrey Zweig (ACL (1), 2017)

Demonstration of interactive teaching for end-to-end dialog control with hybrid code networks. - Jason D. Williams; Lars Liden (SIGDIAL Conference, 2017)

Squares: Supporting Interactive Performance Analysis for Multiclass Classifiers. - Donghao Ren; Saleema Amershi; Bongshin Lee; Jina Suh; Jason D. Williams (IEEE Trans. Vis. Comput. Graph., 2017)

Learning to Globally Edit Images with Textual Description. - Hai Wang; Jason D. Williams; SingBing Kang (CoRR, 2018)

Active Learning for Domain Classification in a Commercial Spoken Personal Assistant. - Xi C. Chen; Adithya Sagar; Justine T. Kao; Tony Y. Li; Christopher Klein; Stephen Pulman; Ashish Garg; Jason D. Williams (INTERSPEECH, 2019)

The Second Conversational Intelligence Challenge (ConvAI2). - Emily Dinan; Varvara Logacheva; Valentin Malykh; Alexander H. Miller; Kurt Shuster 001; Jack Urbanek; Douwe Kiela; Arthur Szlam; Iulian Serban; Ryan Lowe; Shrimai Prabhumoye; Alan W. Black; et al. (CoRR, 2019)

NAIL: A General Interactive Fiction Agent. - Matthew J. Hausknecht; Ricky Loynd; Greg Yang; Adith Swaminathan; Jason D. Williams (CoRR, 2019)

Leveraging User Engagement Signals For Entity Labeling in a Virtual Assistant. - Deepak Muralidharan; Justine T. Kao; Xiao Yang; Lin Li; Lavanya Viswanathan; Mubarak Seyed Ibrahim; Kevin Luikens; Stephen Pulman; Ashish Garg; Atish Kothari; Jason D. Williams (CoRR, 2019)

Improving Human-Labeled Data through Dynamic Automatic Conflict Resolution. - David Q. Sun; Hadas Kotek; Christopher Klein; Mayank Gupta; William Li; Jason D. Williams (COLING, 2020)

Conversational Semantic Parsing for Dialog State Tracking. - Jianpeng Cheng 002; Devang Agrawal; Héctor Martínez Alonso; Shruti Bhargava; Joris Driesen; Federico Flego; Dain Kaplan; Dimitri Kartsaklis; Lin Li; Dhivya Piraviperumal; Jason D. Williams; Hong Yu; et al. (EMNLP (1), 2020)

Lattice-Based Improvements for Voice Triggering Using Graph Neural Networks. - Pranay Dighe; Saurabh Adya; Nuoyu Li; Srikanth Vishnubhotla; Devang Naik; Adithya Sagar; Ying Ma; Stephen Pulman; Jason D. Williams (ICASSP, 2020)

Noise-robust Named Entity Understanding for Virtual Assistants. - Deepak Muralidharan; Joel Ruben Antony Moniz; Sida Gao; Xiao Yang; Lin Li; Justine T. Kao; Stephen Pulman; Atish Kothari; Ray Shen; Yinying Pan; Vivek Kaul; Mubarak Seyed Ibrahim; et al. (CoRR, 2020)

Generating Natural Questions from Images for Multimodal Assistants. - Alkesh Patel; Akanksha Bindal; Hadas Kotek; Christopher Klein; Jason D. Williams (ICASSP, 2021)

DEXTER: Deep Encoding of External Knowledge for Named Entity Recognition in Virtual Assistants. - Deepak Muralidharan; Joel Ruben Antony Moniz; Weicheng Zhang; Stephen Pulman; Lin Li; Megan Barnes; Jingjing Pan; Jason D. Williams; Alex Acero (Interspeech, 2021)

Noise Robust Named Entity Understanding for Voice Assistants. - Deepak Muralidharan; Joel Ruben Antony Moniz; Sida Gao; Xiao Yang; Justine T. Kao; Stephen Pulman; Atish Kothari; Ray Shen; Yinying Pan; Vivek Kaul; Mubarak Seyed Ibrahim; Gang Xiang; et al. (NAACL-HLT (Industry Papers), 2021)

DELPHI: Data for Evaluating LLMs' Performance in Handling Controversial Issues. - David Q. Sun; Artem Abzaliev; Hadas Kotek; Christopher Klein; Zidi Xiu; Jason D. Williams (EMNLP (Industry Track), 2023)

Feedback Effect in User Interaction with Intelligent Assistants: Delayed Engagement, Adaption and Drop-out. - Zidi Xiu; Kai-Chen Cheng; David Q. Sun; Jiannan Lu; Hadas Kotek; Yuhan Zhang; Paul McCarthy; Christopher Klein; Stephen Pulman; Jason D. Williams (PAKDD (2), 2023)

Intelligent Assistant Language Understanding On Device. - Cecilia Aas; Hisham Abdelsalam; Irina Belousova; Shruti Bhargava; Jianpeng Cheng 002; Robert Daland; Joris Driesen; Federico Flego; Tristan Guigue; Anders Johannsen; Partha Lal; Jiarui Lu; et al. (CoRR, 2023)

Model-based real-time optimization in continuous pharmaceutical manufacturing. - Hazem Damiri; Martin Steinberger; Lisa Kuchler; Atabak Azimi; Stefano Martinuzzi; Peter Sagmeister; Jason D. Williams; Stefan Koch 002; Markus Tranninger; Jakob Rehrl; Selma Celikovic; Stephan Sacher; et al. (Comput. Chem. Eng., 2025)