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Computer Science
Canada
2025

D-Index & Metrics

Computer Science

D-Index
62
Citations
19305
World Ranking
2855
National Ranking
108

Research.com Recognitions

  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2023 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award

Overview

Graeme Hirst is affiliated with the University of Toronto in Canada. Their research spans multiple fields, notably computer science and psychology, with a focus on artificial intelligence and social sciences.

The main fields of study represented in their work include:

  • Computer Science
  • Psychology

The applicable subfields they contribute to cover:

  • Artificial Intelligence
  • Social Psychology
  • Sociology and Political Science
  • Applied Psychology
  • Public Health, Environmental and Occupational Health

Key topics addressed in their academic output involve:

  • Topic Modeling
  • Mental Health via Writing
  • Digital Mental Health Interventions
  • Machine Learning in Healthcare
  • Misinformation and Its Impacts
  • Natural Language Processing Techniques
  • Text Readability and Simplification

Graeme Hirst has published research extensively, with frequent contributions to the following venues:

  • arXiv (Cornell University)
  • JMIR Cancer
  • JMIR Research Protocols
  • Journal of Medical Internet Research
  • Journal of the American Medical Informatics Association

Their recent papers include:

  • "Exploring the Privacy-Preserving Properties of Word Embeddings: Algorithmic Validation Study" (2020), Journal of Medical Internet Research
  • "Natural Language Processing-Based Virtual Cofacilitator for Online Cancer Support Groups: Protocol for an Algorithm Development and Validation Study" (2021), JMIR Research Protocols
  • "Using word embeddings to improve the privacy of clinical notes" (2020), Journal of the American Medical Informatics Association
  • "Providing Care Beyond Therapy Sessions With a Natural Language Processing-Based Recommender System That Identifies Cancer Patients Who Experience Psychosocial Challenges and Provides Self-care Support: Pilot Study" (2022), JMIR Cancer
  • "Therapist Feedback and Implications on Adoption of an Artificial Intelligence-Based Co-Facilitator for Online Cancer Support Groups: Mixed Methods Single-Arm Usability Study" (2023), JMIR Cancer

Frequent collaborators in their work include:

  • Yvonne Leung
  • Achini Adikari
  • Jiahui Wong
  • Mathew Gancarz
  • David Gratzer

Best Publications

  • Evaluating WordNet-based Measures of Lexical Semantic Relatedness

    Alexander Budanitsky;Graeme Hirst

  • Lexical cohesion computed by thesaural relations as an indicator of the structure of text

    Jane Morris;Graeme Hirst

  • Lexical chains as representations of context for the detection and correction of malapropisms

    Graeme Hirst;David St-Onge

  • Neural Network Methods in Natural Language Processing

    Yoav Goldberg;Graeme Hirst

  • Semantic distance in WordNet: An experimental, application-oriented evaluation of five measures

    Alexander Budanitsky;Graeme Hirst;Keith Alcock;Jiang— Conrath

  • Semantic Interpretation and the Resolution of Ambiguity

    Graeme Hirst

  • Near-synonymy and lexical choice

    Philip Edmonds;Graeme Hirst

  • The rhetorical parsing, summarization, and generation of natural language texts

    Graeme Hirst;Daniel C. Marcu

  • Anaphora in Natural Language Understanding: A Survey

    Graeme Hirst

  • Ontology and the Lexicon

    Graeme Hirst

  • Automated classification of primary progressive aphasia subtypes from narrative speech transcripts.

    Kathleen C. Fraser;Jed A. Meltzer;Naida L. Graham;Naida L. Graham;Carol Leonard

  • Correcting real-word spelling errors by restoring lexical cohesion

    Graeme Hirst;Alexander Budanitsky

  • Classifying arguments by scheme

    Vanessa Wei Feng;Graeme Hirst

  • Ontology and the Lexicon

    Unknown

  • Bigrams of Syntactic Labels for Authorship Discrimination of Short Texts

    Graeme Hirst;Ol’ga Feiguina

  • A Linear-Time Bottom-Up Discourse Parser with Constraints and Post-Editing

    Vanessa Wei Feng;Graeme Hirst

  • Text-level Discourse Parsing with Rich Linguistic Features

    Vanessa Wei Feng;Graeme Hirst

  • Discipline Impact Factors: A Method for Determining Core Journal Lists.

    Graeme Hirst

  • Longitudinal Detection of Dementia through Lexical and Syntactic Changes in Writing: A Case Study of Three British Novelists

    Xuan Le;Ian Lancashire;Graeme Hirst;Regina Jokel

  • Computational Argumentation Quality Assessment in Natural Language

    Henning Wachsmuth;Nona Naderi;Yufang Hou;Yonatan Bilu

  • The repair of speech act misunderstandings by abductive inference

    Susan W. McRoy;Graeme Hirst

Frequent Co-Authors

Frank Rudzicz
Frank Rudzicz University of Toronto
Saif M. Mohammad
Saif M. Mohammad National Research Council Canada
Diana Inkpen
Diana Inkpen University of Ottawa
Diego R. Amancio
Diego R. Amancio Universidade de São Paulo
Daniel Marcu
Daniel Marcu University of Southern California
David Duvenaud
David Duvenaud University of Toronto
Elizabeth Rochon
Elizabeth Rochon University of Toronto
Bonnie J. Dorr
Bonnie J. Dorr University of Florida
Sandra E. Black
Sandra E. Black University of Toronto
Iryna Gurevych
Iryna Gurevych Technical University of Darmstadt

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