David Kauchak
About
David Kauchak has authored 32 papers that have received a total of 705 indexed citations.
This includes 29 papers in Artificial Intelligence, 11 papers in General Health Professions and 3 papers in Information Systems. The topics of these papers are Text Readability and Simplification (24 papers), Topic Modeling (19 papers) and Natural Language Processing Techniques (15 papers). David Kauchak is often cited by papers focused on Text Readability and Simplification (24 papers), Topic Modeling (19 papers) and Natural Language Processing Techniques (15 papers) and collaborates with scholars based in United States, Canada and Denmark. David Kauchak's co-authors include Gondy Leroy, Sonia Colina, Debra Revere, Charles Elkan and Nicole P. Yuan and has published in prestigious journals such as Journal of Medical Internet Research, Journal of Machine Learning Research and Journal of the American Medical Informatics Association
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