Chris Callison-Burch

114 papers and 3.7k indexed citations i.

Chris Callison-Burch has authored 114 papers that have received a total of 3.7k indexed citations. This includes 103 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 12 papers in Computer Science Applications. The topics of these papers are Topic Modeling (89 papers), Natural Language Processing Techniques (84 papers) and Text Readability and Simplification (15 papers). Chris Callison-Burch is often cited by papers focused on Topic Modeling (89 papers), Natural Language Processing Techniques (84 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, Daphne Ippolito, Christof Monz 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.