World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
17764
World Ranking
6018
National Ranking
2707

Overview

Steven Bethard is affiliated with the University of Arizona in the United States and specializes primarily in the field of Computer Science. Within this broad domain, their work extensively covers subfields such as Artificial Intelligence, Communication, Molecular Biology, Sociology and Political Science, and Information Systems.

Their research focuses on a variety of topics including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Biomedical Text Mining and Ontologies
  • Social Media and Politics
  • Domain Adaptation and Few-Shot Learning
  • Semantic Web and Ontologies
  • Intelligent Tutoring Systems and Adaptive Learning

Steven Bethard has contributed to several recent academic papers. Notable publications include:

  • "Does BERT need domain adaptation for clinical negation detection?" (2020), published in the Journal of the American Medical Informatics Association
  • "Rethinking domain adaptation for machine learning over clinical language" (2020), published in JAMIA Open
  • "Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)-based ranking for concept normalization" (2020), published in the Journal of the American Medical Informatics Association
  • "Toward NEPA performance: A framework for assessing EIAs" (2022), published in Environmental Impact Assessment Review
  • "A Comparison of Strategies for Source-Free Domain Adaptation" (2022), published in the Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Common co-authors with whom Steven Bethard frequently collaborates include:

  • Xin Su
  • Egoitz Laparra
  • Guergana Savova
  • Timothy A. Miller
  • Stephen A. Rains

Their work has been published in several venues multiple times. Frequent publication outlets include:

  • arXiv (Cornell University)
  • Journal of the American Medical Informatics Association
  • Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
  • Zenodo (CERN European Organization for Nuclear Research)
  • JAMIA Open

Best Publications

  • The Stanford CoreNLP Natural Language Processing Toolkit

    Christopher Manning;Mihai Surdeanu;John Bauer;Jenny Finkel

  • A Survey on Recent Advances in Named Entity Recognition from Deep Learning models

    Vikas Yadav;Steven Bethard

  • A survey on the application of recurrent neural networks to statistical language modeling

    Wim De Mulder;Steven Bethard;Marie-Francine Moens

  • How Good Are Humans at Solving CAPTCHAs? A Large Scale Evaluation

    Elie Bursztein;Steven Bethard;Celine Fabry;John C. Mitchell

  • Proceedings of The 12th International Workshop on Semantic Evaluation

    Marianna Apidianaki;Saif M. Mohammad;Jonathan May;Ekaterina Shutova

  • Automatic Extraction of Opinion Propositions and their Holders

    Steven Bethard;Hong Yu;Ashley Thornton;Vasileios Hatzivassiloglou

  • Overview for the First Shared Task on Language Identification in Code-Switched Data

    Unknown

  • SemEval-2016 Task 12: Clinical TempEval

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

  • Overview for the First Shared Task on Language Identification in Code-Switched Data

    Thamar Solorio;Elizabeth Blair;Suraj Maharjan;Steven Bethard

  • Not All Character N-grams Are Created Equal: A Study in Authorship Attribution

    Upendra Sapkota;Steven Bethard;Manuel Montes;Thamar Solorio

  • Temporal Annotation in the Clinical Domain

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

  • Dense Event Ordering with a Multi-Pass Architecture

    Nathanael Chambers;Taylor Cassidy;Bill McDowell;Steven Bethard

  • Crowdsourcing and language studies: the new generation of linguistic data

    Robert Munro;Steven Bethard;Victor Kuperman;Vicky Tzuyin Lai

  • SemEval-2015 Task 6: Clinical TempEval

    Steven Bethard;Leon Derczynski;Guergana Savova;James Pustejovsky

  • Who should I cite: learning literature search models from citation behavior

    Steven Bethard;Dan Jurafsky

  • DLS$@$CU: Sentence Similarity from Word Alignment and Semantic Vector Composition

    Arafat Sultan;Steven Bethard;Tamara Sumner

  • An Annotation Framework for Dense Event Ordering

    Taylor Cassidy;Bill McDowell;Nathanael Chambers;Steven Bethard

  • ClearTK-TimeML: A minimalist approach to TempEval 2013

    Steven Bethard

  • Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing

    David Yarowsky;Timothy Baldwin;Anna Korhonen;Karen Livescu

  • Normalization and standardization of electronic health records for high-throughput phenotyping: the SHARPn consortium

    Jyotishman D Pathak;Kent R Bailey;Calvin E. Beebe;Steven Bethard

  • Back to Basics for Monolingual Alignment: Exploiting Word Similarity and Contextual Evidence

    Arafat Sultan;Steven Bethard;Tamara Sumner

  • Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)

    Steven Bethard;Marine Carpuat;Marianna Apidianaki;Saif M. Mohammad

Frequent Co-Authors

Guergana Savova
Guergana Savova Harvard University
James H. Martin
James H. Martin University of Colorado Boulder
Mihai Surdeanu
Mihai Surdeanu University of Arizona
Thamar Solorio
Thamar Solorio Mohamed bin Zayed University of Artificial Intelligence
Dan Jurafsky
Dan Jurafsky Stanford University
Martha Palmer
Martha Palmer University of Colorado Boulder
James Pustejovsky
James Pustejovsky Brandeis University
Sameer Pradhan
Sameer Pradhan Vassar College
Ted Pedersen
Ted Pedersen University of Minnesota

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