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Computer Science

D-Index
44
Citations
8382
World Ranking
7557
National Ranking
452

Overview

Joel Tetreault is affiliated with Yahoo in the United Kingdom. Their research primarily focuses on the domain of computer science, with a significant emphasis on artificial intelligence. Additional areas of study include computer vision and pattern recognition, information systems, management science and operations research, and communication.

The scientist's work spans a range of topics, most notably:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Speech and dialogue systems
  • Software Engineering Research
  • Data Quality and Management
  • Public Relations and Crisis Communication

Joel Tetreault has contributed to several academic conferences and journals, with frequent publications appearing in the following venues:

  • arXiv (Cornell University)
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • Findings of the Association for Computational Linguistics: NAACL 2022

Recent papers published by Joel Tetreault include:

  • The CoNLL-2013 Shared Task on Grammatical Error Correction, 2025, arXiv (Cornell University)
  • Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Mapping the Design Space of Human-AI Interaction in Text Summarization, 2022, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction, 2022, Findings of the Association for Computational Linguistics: NAACL 2022
  • An Exploration of Post-Editing Effectiveness in Text Summarization, 2022, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

The scientist has collaborated frequently with various coauthors throughout their career. Notable collaborators include:

  • Alejandro Jaimes
  • Ke Zhang
  • Hemank Lamba
  • Alison Smith
  • Tanay Kumar Saha

Best Publications

  • Abusive Language Detection in Online User Content

    Chikashi Nobata;Joel Tetreault;Achint Thomas;Yashar Mehdad

  • Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer

    Sudha Rao;Joel R. Tetreault

  • Re-examining Machine Translation Metrics for Paraphrase Identification

    Nitin Madnani;Joel Tetreault;Martin Chodorow

  • Do Characters Abuse More Than Words

    Yashar Mehdad;Joel R. Tetreault

  • TGIF: A New Dataset and Benchmark on Animated GIF Description

    Yuncheng Li;Yale Song;Liangliang Cao;Joel Tetreault

  • Automated Grammatical Error Correction for Language Learners

    Joel Tetreault;Claudia Leacock

  • The CoNLL-2013 Shared Task on Grammatical Error Correction

    Hwee Tou Ng;Siew Mei Wu;Yuanbin Wu;Christian Hadiwinoto

  • The Ups and Downs of Preposition Error Detection in ESL Writing

    Joel R. Tetreault;Martin Chodorow

  • TOEFL11: A CORPUS OF NON‐NATIVE ENGLISH

    Daniel Blanchard;Joel Tetreault;Derrick Higgins;Aoife Cahill

  • Detection of Grammatical Errors Involving Prepositions

    Martin Chodorow;Joel Tetreault;Na-Rae Han

  • Detecting Sarcasm in Multimodal Social Platforms

    Rossano Schifanella;Paloma de Juan;Joel Tetreault;LiangLiang Cao

  • A Report on the First Native Language Identification Shared Task

    Joel Tetreault;Daniel Blanchard;Aoife Cahill

  • It Depends: Dependency Parser Comparison Using A Web-based Evaluation Tool

    Jinho D. Choi;Joel Tetreault;Amanda Stent

  • Ground Truth for Grammaticality Correction Metrics

    Courtney Napoles;Keisuke Sakaguchi;Matt Post;Joel Tetreault

  • JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correction

    Courtney Napoles;Keisuke Sakaguchi;Joel R. Tetreault

  • A corpus-based evaluation of centering and pronoun resolution

    Joel R. Tetreault

  • The utility of article and preposition error correction systems for English language learners: Feedback and assessment:

    Martin Chodorow;Michael Gamon;Joel Tetreault

  • Sender-intended functions of emojis in US messaging

    Henriette Cramer;Paloma de Juan;Joel Tetreault

  • An Empirical Analysis of Formality in Online Communication

    Ellie Pavlick;Joel R. Tetreault

  • Using System and User Performance Features to Improve Emotion Detection in Spoken Tutoring Dialogs

    Hua Ai;Diane J. Litman;Katherine Forbes-Riley;Mihai Rotaru

  • Yara Parser: A Fast and Accurate Dependency Parser

    Mohammad Sadegh Rasooli;Joel R. Tetreault

Frequent Co-Authors

Martin Chodorow
Martin Chodorow City University of New York
Jill Burstein
Jill Burstein Princeton University
Diane J. Litman
Diane J. Litman University of Pittsburgh
James F. Allen
James F. Allen University of Rochester
Liangliang Cao
Liangliang Cao Google (United States)
Amanda Stent
Amanda Stent Colby College
Michael Gamon
Michael Gamon Microsoft (United States)
Jiebo Luo
Jiebo Luo University of Rochester
Dragomir R. Radev
Dragomir R. Radev Yale University

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