Chris Callison-Burch
About
Chris Callison-Burch has authored 111 papers that have received a total of 3.6k indexed citations.
This includes 101 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 12 papers in Computer Science Applications. The topics of these papers are Topic Modeling (87 papers), Natural Language Processing Techniques (83 papers) and Text Readability and Simplification (15 papers). Chris Callison-Burch is often cited by papers focused on Topic Modeling (87 papers), Natural Language Processing Techniques (83 papers) and Text Readability and Simplification (15 papers) and collaborates with scholars based in United States, United Kingdom and The Netherlands. Chris Callison-Burch's co-authors include Philipp Koehn, Ellie Pavlick, Benjamin Van Durme, Omar F. Zaidan and Ann Irvine and has published in prestigious journals such as PLoS ONE, The Review of Economics and Statistics and Journal of the American Academy of Dermatology.
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