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Computer Science

D-Index
60
Citations
18422
World Ranking
3194
National Ranking
1549

Overview

David Yarowsky is affiliated with Johns Hopkins University in the United States. Their research primarily focuses on the field of Computer Science, with a sub-specialization in Artificial Intelligence. Other subfields include Experimental and Cognitive Psychology, Health Informatics, Radiology, Nuclear Medicine and Imaging, and Physiology.

The main topics of David Yarowsky's work cover a range of areas including:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Speech and Dialogue Systems
  • Phonetics and Phonology Research
  • Artificial Intelligence in Healthcare and Education
  • AI in Cancer Detection
  • Radiomics and Machine Learning in Medical Imaging

The following are some recent papers authored or co-authored by David Yarowsky, reflecting their involvement in interdisciplinary research:

  • "Hierarchical Bayesian Models for Latent Attribute Detection in Social Media," 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "UniMorph 3.0: Universal Morphology," 2020, Minerva Access (University of Melbourne)
  • "Artificial Intelligence Scribe and Large Language Model Technology in Healthcare Documentation: Advantages, Limitations, and Recommendations," 2025, Plastic & Reconstructive Surgery Global Open
  • "2023 International Rome consensus for the nomenclature of Sjögren disease," 2025, Nature Reviews Rheumatology
  • "Evaluating Large Language Models along Dimensions of Language Variation: A Systematik Investigation of Cross-lingual Generalization," 2024, arXiv (Cornell University)

David Yarowsky frequently collaborates with other researchers. Key co-authors include:

  • Niyati Bafna
  • Alison Mackey
  • Kenton Murray
  • David R. Mortensen
  • Hale Sirin

Their publications have appeared in several venues, with frequent contributions to:

  • arXiv (Cornell University)
  • Minerva Access (University of Melbourne)
  • Plastic & Reconstructive Surgery Global Open
  • Nature Reviews Rheumatology
  • Proceedings of the International AAAI Conference on Web and Social Media

Best Publications

  • UNSUPERVISED WORD SENSE DISAMBIGUATION RIVALING SUPERVISED METHODS

    David Yarowsky

  • Word-sense disambiguation using statistical models of Roget's categories trained on large corpora

    David Yarowsky

  • A method for disambiguating word senses in a large corpus

    William A. Gale;Kenneth Ward Church;David Yarowsky

  • Classifying latent user attributes in twitter

    Delip Rao;David Yarowsky;Abhishek Shreevats;Manaswi Gupta

  • One sense per discourse

    William A. Gale;Kenneth W. Church;David Yarowsky

  • Inducing multilingual POS taggers and NP bracketers via robust projection across aligned corpora

    David Yarowsky;Grace Ngai

  • Inducing multilingual text analysis tools via robust projection across aligned corpora

    David Yarowsky;Grace Ngai;Richard Wicentowski

  • One sense per collocation

    David Yarowsky

  • DECISION LISTS FOR LEXICAL AMBIGUITY RESOLUTION: Application to Accent Restoration in Spanish and French

    David Yarowsky

  • Unsupervised personal name disambiguation

    Gideon S. Mann;David Yarowsky

  • Language Independent Named Entity Recognition Combining Morphological and Contextual Evidence.

    Silviu Cucerzan;David Yarowsky

  • Distinguishing systems and distinguishing senses: new evaluation methods for Word Sense Disambiguation

    Philip Resnik;David Yarowsky

  • Estimating Upper and Lower Bounds on the Performance of Word-Sense Disambiguation Programs

    William Gale;Kenneth Ward Church;David Yarowsky

  • The SIGMORPHON 2016 Shared Task - Morphological Reinflection.

    Ryan Cotterell;Christo Kirov;John Sylak-Glassman;David Yarowsky

  • Homograph Disambiguation in Text-to-Speech Synthesis

    David Yarowsky

  • Minimally supervised morphological analysis by multimodal alignment

    David Yarowsky;Richard Wicentowski

  • Bootstrapping a multilingual part-of-speech tagger in one person-day

    Silviu Cucerzan;David Yarowsky

  • Using Bilingual Materials to Develop Word Sense Disambiguation Methods

    William A. Gale;Kenneth W. Church;David Yarowsky

  • Word disambiguation methods and apparatus

    Kenneth Ward Church;William Arthur Gale;David Eric Yarowsky

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

    David Yarowsky;Timothy Baldwin;Anna Korhonen;Karen Livescu

  • Natural Language Processing Using Very Large Corpora

    S. Armstrong;Kenneth Church;Pierre Isabelle

Frequent Co-Authors

Ryan Cotterell
Ryan Cotterell ETH Zurich
Kenneth Church
Kenneth Church Baidu (China)
Jason Eisner
Jason Eisner Johns Hopkins University
Sanjeev Khudanpur
Sanjeev Khudanpur Johns Hopkins University
Chris Callison-Burch
Chris Callison-Burch University of Pennsylvania
Wanxiang Che
Wanxiang Che Harbin Institute of Technology
Ting Liu
Ting Liu Harbin Institute of Technology
Douglas W. Oard
Douglas W. Oard University of Maryland, College Park
Haifeng Wang
Haifeng Wang Baidu (China)
Philip Resnik
Philip Resnik University of Maryland, College Park

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