John Hewitt
About
John Hewitt has authored 14 papers that have received a total of 525 indexed citations.
This includes 14 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Electrical and Electronic Engineering. The topics of these papers are Topic Modeling (13 papers), Natural Language Processing Techniques (12 papers) and Multimodal Machine Learning Applications (4 papers). John Hewitt is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (12 papers) and Multimodal Machine Learning Applications (4 papers) and collaborates with scholars based in United States, France and Germany. John Hewitt's co-authors include Percy Liang, Christopher D. Manning, Derry Wijaya, Chris Callison-Burch and Omer Levy and has published in prestigious journals such as Proceedings of the National Academy of Sciences and Transactions of the Association for Computational Linguistics
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