David R. Kauchak

Associate Professor of Computer Science; On Leave Fall 2021
no image available
  • Expertise

    Expertise

    David Kauchak’s main research interests lie in natural language processing (NLP), with a particular focus on applied NLP. For example, his current research focuses on text simplification, which aims to reduce the complexity of text while maintaining the content.

    Research Interests

    • Natural language processing
    • Text simplification

    Areas of Expertise

    COMPUTER SCIENCE

    • Natural language processing
    • Machine learning
    • Text simplification
  • Work

    Work

    Colby Horn, Katie Manduca and David Kauchak (2014). Learning a Lexical Simplifier Using Wikipedia. In Proceedings of the Association of Computational Linguistics.

    Gondy Leroy and David Kauchak (2013). The Effect of Word Familiarity on Actual and Perceived Text Difficulty. In Journal of American Medical Informatics Association.

    Daniel Feblowitz and David Kauchak (2013). Sentence Simplification as Tree Transduction. In Proceedings of Predicting and Improving Text Readability for Target Reader Populations.

    David Kauchak (2013). Improving Text Simplification Language Modeling Using Unsimplified Text Data. In Proceedings of Proceedings of the Association of Computational Linguistics.

    Gondy Leroy, James E. Endicott, David Kauchak, Obay Mouradi and Melissa Just (2013). User Evaluation of the Effects of a Text Simplification Algorithm Using Term Familiarity on Perception, Understanding, Learning, and Information Retention. In Journal of Medical Internet Research (JMIR).

    Gondy Leroy, David Kauchak and Obay Mouradi (2013). A User-study Measuring the Effects of Lexical Simplification and Coherence Enhancement on Perceived and Actual Text Difficulty. In International Journal of Medical Informatics (IJMI).

    Gondy Leroy, James Endicott, Obay Mouradi, David Kauchak and Melissa Just (2012). Improving Perceived and Actual Text Difficulty for Health Information Consumers using Semi-Automated Methods. In American Medical Infomatics Association (AMIA) Fall Symposium.

  • Education

    Education

    Ph.D.
    University of California, San Diego

    Master of Arts
    University of California, San Diego

    Bachelor of Science
    University of Utah

    Recent Courses Taught

    • Computation and Cognition
    • Fundamentals of Computer Science
    • Natural Language Processing
    • Computer Science Senior Seminar