Noah A. Smith
About
Noah A. Smith has authored 237 papers that have received a total of 12.6k indexed citations.
This includes 215 papers in Artificial Intelligence, 42 papers in Computer Vision and Pattern Recognition and 13 papers in Molecular Biology. The topics of these papers are Topic Modeling (183 papers), Natural Language Processing Techniques (172 papers) and Multimodal Machine Learning Applications (36 papers). Noah A. Smith is often cited by papers focused on Topic Modeling (183 papers), Natural Language Processing Techniques (172 papers) and Multimodal Machine Learning Applications (36 papers) and collaborates with scholars based in United States, Israel and Portugal. Noah A. Smith's co-authors include Chris Dyer, Yejin Choi, Swabha Swayamdipta, Nathan Schneider and Roy Schwartz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Communications of the ACM
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