World's Best Scientists 2026 revealed!

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Computer Science

D-Index
67
Citations
28926
World Ranking
2143
National Ranking
1076

Overview

James Pustejovsky is affiliated with Brandeis University in the United States. Their research primarily focuses on fields within computer science, with a significant emphasis on artificial intelligence and its applications.

Their recent papers include:

  • Embodied Human Computer Interaction, 2021, KI - Künstliche Intelligenz
  • COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation, 2020, arXiv (Cornell University)
  • Designing a Uniform Meaning Representation for Natural Language Processing, 2021, KI - Künstliche Intelligenz
  • Semantic Representations for NLP Using VerbNet and the Generative Lexicon, 2022, Frontiers in Artificial Intelligence
  • From learning optimization to learner flourishing: Reimagining AI in Education at the Institute for Student-AI Teaming (iSAT), 2024, AI Magazine

The scientist has frequently collaborated with several coauthors, including:

  • Nikhil Krishnaswamy
  • Kenneth Lai
  • Martha Palmer
  • Ibrahim Khebour
  • Jingxuan Tu

James Pustejovsky has published notably in venues such as:

  • arXiv (Cornell University)
  • Frontiers in Artificial Intelligence
  • KI - Künstliche Intelligenz
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • AI Magazine

The fields of study represented in their work include:

  • Computer Science
  • Psychology

Within these fields, their research covers several subfields, including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Social Psychology
  • Developmental and Educational Psychology
  • Experimental and Cognitive Psychology

The main research topics in their work are:

  • Speech and dialogue systems
  • Natural Language Processing Techniques
  • Topic Modeling
  • Multimodal Machine Learning Applications
  • Language, Metaphor, and Cognition
  • Semantic Web and Ontologies
  • Social Robot Interaction and HRI

James Pustejovsky has also contributed to book publications. One noted publication is the proceedings of the 11th International Workshop on Health Text Mining and Information Analysis, LOUHI@EMNLP 2020, published by the Centre National de la Recherche Scientifique in 2020.

Best Publications

  • The generative lexicon

    James Pustejovsky

  • The syntax of event structure.

    James Pustejovsky

  • TimeML: Robust Specification of Event and Temporal Expressions in Text

    James Pustejovsky;José M. Castaño;Robert Ingria;Roser Saurí

  • SemEval-2010 Task 13: TempEval-2

    Marc Verhagen;Roser Sauri;Tommaso Caselli;James Pustejovsky

  • SemEval-2007 Task 15: TempEval Temporal Relation Identification

    Marc Verhagen;Robert Gaizauskas;Frank Schilder;Mark Hepple

  • SemEval-2013 Task 1: TempEval-3: Evaluating Time Expressions, Events, and Temporal Relations

    Naushad UzZaman;Hector Llorens;Leon Derczynski;James Allen

  • Natural Language Annotation for Machine Learning

    James Pustejovsky;Amber Stubbs

  • Machine Learning of Temporal Relations

    Inderjeet Mani;Marc Verhagen;Ben Wellner;Chong Min Lee

  • FactBank: a corpus annotated with event factuality

    Roser Saurí;James Pustejovsky

  • Robust relational parsing over biomedical literature: extracting inhibit relations.

    James Pustejovsky;José M. Castaño;Jason Zhang;Maciej Kotecki

  • Type Coercion and Lexical Selection

    James Pustejovsky

  • Lexical knowledge representation and natural language processing

    James Pustejovsky;Branimir Boguraev

  • A Pattern Dictionary for Natural Language Processing

    Patrick Hanks;James Pustejovsky

  • Lexical semantic techniques for corpus analysis

    James Pustejovsky;Peter Anick;Sabine Bergler

  • The Specification Language TimeML.

    James Pustejovsky;Robert Ingria;Roser Saurí;José M. Castaño

  • SemEval-2016 Task 12: Clinical TempEval

    Steven Bethard;Guergana Savova;Wei-Te Chen;Leon Derczynski

  • Aspectual Coercion and Logical Polysemy

    James Pustejovsky;Pierrette Bouillon

  • ISO-TimeML: An International Standard for Semantic Annotation

    James Pustejovsky;Kiyong Lee;Harry Bunt;Laurent Romary

  • Automating Temporal Annotation with TARSQI

    Marc Verhagen;Inderjeet Mani;Roser Sauri;Jessica Littman

  • Temporal Annotation in the Clinical Domain

    William F. Styler;Steven Bethard;Sean Finan;Martha Palmer

  • Evita: A Robust Event Recognizer For QA Systems

    Roser Saurí;Robert Knippen;Marc Verhagen;James Pustejovsky

  • Events as grammatical objects

    C Tenny;J Pustejovsky

  • Proceedings of the 32nd annual meeting on Association for Computational Linguistics

    James Pustejovsky

Frequent Co-Authors

Nancy Ide
Nancy Ide Vassar College
Martha Palmer
Martha Palmer University of Colorado Boulder
Inderjeet Mani
Inderjeet Mani Yahoo! Research
Yorick Wilks
Yorick Wilks Florida Institute for Human and Machine Cognition
Robert Gaizauskas
Robert Gaizauskas University of Sheffield
Steven Bethard
Steven Bethard University of Arizona
Bruce A. Draper
Bruce A. Draper Colorado State University
Nicholas Asher
Nicholas Asher Toulouse Institute of Computer Science Research
Guergana Savova
Guergana Savova Harvard University

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