World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
7688
World Ranking
9652
National Ranking
4090

Overview

Wayne H. Ward is affiliated with the University of Colorado Boulder in the United States. Their research lies primarily within the domain of Computer Science, with a particular focus on subfields including Artificial Intelligence, Education, Language and Linguistics, Developmental and Educational Psychology, and Information Systems.

Their work encompasses a range of topics such as Intelligent Tutoring Systems and Adaptive Learning, Text Readability and Simplification, Educational Assessment and Pedagogy, EFL/ESL Teaching and Learning, Innovative Teaching and Learning Methods, Natural Language Processing Techniques, and aspects of Software Engineering Research.

Frequent publication venues for Wayne H. Ward include:

  • arXiv (Cornell University)
  • Journal of Research on Technology in Education

Among recent papers authored or co-authored by Wayne H. Ward are:

  • Development and promise of a vocabulary intelligent tutoring system for Second-Grade Latinx English learners, 2020, Journal of Research on Technology in Education
  • Using Transformers to Provide Teachers with Personalized Feedback on their Classroom Discourse: The TalkMoves Application, 2021, arXiv (Cornell University)
  • My Science Tutor (MyST) -- A Large Corpus of Children's Conversational Speech, 2023, arXiv (Cornell University)

Ward has collaborated frequently with several co-authors, including:

  • Abhijit Suresh
  • Jennifer Jacobs
  • Vivian Lai
  • Chenhao Tan
  • James Martin

The range of research outputs reflects an integration of educational technology and artificial intelligence, demonstrating a consistent interest in combining advancements in natural language processing with educational assessment and pedagogy.

Best Publications

  • Speech recognition

    Victor Zue;Ron Cole;Wayne Ward

  • Shallow Semantic Parsing using Support Vector Machines.

    Sameer S. Pradhan;Wayne H. Ward;Kadri Hacioglu;James H. Martin

  • Recent improvements in the CMU spoken language understanding system

    Wayne Ward;Sunil Issar

  • Support Vector Learning for Semantic Argument Classification

    Sameer Pradhan;Kadri Hacioglu;Valerie Krugler;Wayne Ward

  • The CMU air travel information service: understanding spontaneous speech

    Wayne Ward

  • A class based language model for speech recognition

    W. Ward;S. Issar

  • Understanding spontaneous speech: the Phoenix system

    W. Ward

  • High level knowledge sources in usable speech recognition systems

    S. L. Young;A. G. Hauptmann;W. H. Ward;E. T. Smith

  • Semantic Role Labeling Using Different Syntactic Views

    Sameer Pradhan;Wayne Ward;Kadri Hacioglu;James Martin

  • Towards Robust Semantic Role Labeling

    Sameer Pradhan;Sameer Pradhan;Wayne Ward;Wayne Ward;James Martin;James Martin

  • Confidence measures for dialogue management in the CU Communicator system

    R. San-Segundo;B. Pellom;W. Ward;J.M. Pardo

  • Perceptive animated interfaces: first steps toward a new paradigm for human-computer interaction

    R. Cole;S. Van Vuuren;B. Pellom;K. Hacioglu

  • Towards comprehensive syntactic and semantic annotations of the clinical narrative.

    Daniel Albright;Arrick Lanfranchi;Anwen Fredriksen;William F. Styler

  • THE CU COMMUNICATOR SYSTEM 1

    Wayne Ward;Bryan Pellom

  • Semantic Role Labeling by Tagging Syntactic Chunks

    Kadri Hacioglu;Sameer Pradhan;Wayne H. Ward;James H. Martin

  • Question classification with support vector machines and error correcting codes

    Kadri Hacioglu;Wayne Ward

  • Semantic role parsing: adding semantic structure to unstructured text

    Sameer Pradhan;K. Hacioglu;W. Ward;J.H. Martin

  • What kind of pronunciation variation is hard for triphones to model

    D. Jurafsky;W. Ward;Zhang Banping;K. Herold

  • The CU communicator: an architecture for dialogue systems.

    Bryan L. Pellom;Wayne H. Ward;Sameer S. Pradhan

  • Recognizing entailment in intelligent tutoring systems

    Rodney d. Nielsen;Wayne Ward;James h. Martin

Frequent Co-Authors

James H. Martin
James H. Martin University of Colorado Boulder
Ronald A. Cole
Ronald A. Cole Boulder Language Technologies (United States)
Sameer Pradhan
Sameer Pradhan Vassar College
Martha Palmer
Martha Palmer University of Colorado Boulder
Dan Jurafsky
Dan Jurafsky Stanford University
Alex Waibel
Alex Waibel Carnegie Mellon University
Alexander G. Hauptmann
Alexander G. Hauptmann Carnegie Mellon University
Richard M. Stern
Richard M. Stern Carnegie Mellon University
Guergana Savova
Guergana Savova Harvard University
Jaime G. Carbonell
Jaime G. Carbonell Carnegie Mellon University

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