World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
10965
World Ranking
7826
National Ranking
3385

Research.com Recognitions

  • 2020 - ACM Fellow For human-centered and linguistically inspired approaches to natural language processing
  • 2013 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to natural language understanding and representation, and development of the widely recognized methods for interlingual machine translation.
  • 1994 - Fellow of Alfred P. Sloan Foundation

Overview

Bonnie J. Dorr is affiliated with the University of Florida in the United States and has a research portfolio primarily in the field of Computer Science. Their work notably focuses on subfields including Artificial Intelligence, Information Systems, Social Psychology, Sociology and Political Science, and Computer Vision and Pattern Recognition.

The scientist's main research topics include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Mental Health via Writing
  • Sentiment Analysis and Opinion Mining
  • Misinformation and Its Impacts
  • Spam and Phishing Detection
  • Digital Mental Health Interventions

Dorr has contributed to numerous publications, with frequent appearances in venues such as arXiv (Cornell University), Procedia Computer Science, Proceedings of the AAAI Symposium Series, Proceedings of the AAAI Conference on Artificial Intelligence, and Findings of the Association for Computational Linguistics: ACL 2022.

Recent papers include:

  • "CAMS: An Annotated Corpus for Causal Analysis of Mental Health Issues in Social Media Posts," 2022, published in arXiv (Cornell University)
  • "Psychologically-Valid Generative Agents: A Novel Approach to Agent-Based Modeling in Social Sciences," 2024, Proceedings of the AAAI Symposium Series
  • "Low-Resource Multi-Domain Machine Translation for Spanish-Farsi: Neural or Statistical?" 2020, Procedia Computer Science
  • "Knowledge Graphs Effectiveness in Neural Machine Translation Improvement," 2020, Computer Science
  • "Detecting Asks in Social Engineering Attacks: Impact of Linguistic and Structural Knowledge," 2020, Proceedings of the AAAI Conference on Artificial Intelligence

Frequent co-authors of Dorr include:

  • Brodie Mather
  • Adam Dalton
  • Tomek Strzalkowski
  • Archna Bhatia
  • Sashank Santhanam

The contributions by Bonnie J. Dorr also include distinctions such as being named an ACM Fellow in 2020 for work related to human-centered and linguistically inspired approaches to natural language processing. Additionally, Dorr was recognized as a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 2013 for contributions to natural language understanding and interlingual machine translation methods. Earlier in their career, Dorr was a Fellow of the Alfred P. Sloan Foundation in 1994.

Best Publications

  • A Study of Translation Edit Rate with Targeted Human Annotation

    Matthew G. Snover;Bonnie J. Dorr;Richard M. Schwartz;Linnea Micciulla

  • Machine translation : a view from the lexicon

    Bonnie Jean Dorr

  • Machine translation divergences: a formal description and proposed solution

    Bonnie J. Dorr

  • Generating phrasal and sentential paraphrases: A survey of data-driven methods

    Nitin Madnani;Bonnie J. Dorr

  • Hedge Trimmer: a parse-and-trim approach to headline generation

    Bonnie Dorr;David Zajic;Richard Schwartz

  • The ACL Anthology Reference Corpus: A Reference Dataset for Bibliographic Research in Computational Linguistics

    Steven Bird;Robert Dale;Bonnie J. Dorr;Bryan R. Gibson

  • Generating High-Coverage Semantic Orientation Lexicons From Overtly Marked Words and a Thesaurus

    Saif Mohammad;Cody Dunne;Bonnie Dorr

  • Fluency, Adequacy, or HTER? Exploring Different Human Judgments with a Tunable MT Metric

    Matthew Snover;Nitin Madnani;Bonnie Dorr;Richard Schwartz

  • A survey of multilingual text retrieval

    Douglas W. Oard;Bonnie J. Dorr

  • Combining Outputs from Multiple Machine Translation Systems

    Antti-Veikko Rosti;Necip Fazil Ayan;Bing Xiang;Spyros Matsoukas

  • TER-Plus: paraphrase, semantic, and alignment enhancements to Translation Edit Rate

    Matthew G. Snover;Nitin Madnani;Bonnie Dorr;Richard Schwartz

  • Large-Scale Dictionary Construction for ForeignLanguage Tutoring and Interlingual Machine Translation

    Bonnie J. Dorr

  • Multi-candidate reduction: Sentence compression as a tool for document summarization tasks

    David Zajic;Bonnie J. Dorr;Jimmy Lin;Richard Schwartz

  • Using Citations to Generate surveys of Scientific Paradigms

    Saif Mohammad;Bonnie Dorr;Melissa Egan;Ahmed Hassan

  • A Survey of Current Paradigms in Machine Translation

    Bonnie J. Dorr;Pamela W. Jordan;John W. Benoit

  • Rapid understanding of scientific paper collections: Integrating statistics, text analytics, and visualization

    Cody Dunne;Ben Shneiderman;Robert Gove;Judith Klavans

  • A categorial variation database for English

    Nizar Habash;Bonnie Dorr

  • Computing Word-Pair Antonymy

    Saif Mohammad;Bonnie Dorr;Graeme Hirst

  • Single-document and multi-document summarization techniques for email threads using sentence compression

    David M. Zajic;Bonnie J. Dorr;Jimmy Lin

  • Computing Lexical Contrast

    Saif M. Mohammad;Bonnie J. Dorr;Graeme Hirst;Peter D. Turney

  • Exploring Different Human Judgments with a Tunable MT Metric

    Matthew Snover;Nitin Madnani;Bonnie J. Dorr;Richard Schwartz

Frequent Co-Authors

Nizar Habash
Nizar Habash New York University Abu Dhabi
Douglas W. Oard
Douglas W. Oard University of Maryland, College Park
Jimmy Lin
Jimmy Lin University of Waterloo
Richard Schwartz
Richard Schwartz Brown University
Christof Monz
Christof Monz University of Amsterdam
Saif M. Mohammad
Saif M. Mohammad National Research Council Canada
Lori Levin
Lori Levin Carnegie Mellon University
Owen Rambow
Owen Rambow Stony Brook University
Philip Resnik
Philip Resnik University of Maryland, College Park
Eduard Hovy
Eduard Hovy Carnegie Mellon University

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