Yejin Choi
About
Yejin Choi has authored 200 papers that have received a total of 10.5k indexed citations.
This includes 167 papers in Artificial Intelligence, 62 papers in Computer Vision and Pattern Recognition and 12 papers in Sociology and Political Science. The topics of these papers are Topic Modeling (127 papers), Natural Language Processing Techniques (108 papers) and Multimodal Machine Learning Applications (59 papers). Yejin Choi is often cited by papers focused on Topic Modeling (127 papers), Natural Language Processing Techniques (108 papers) and Multimodal Machine Learning Applications (59 papers) and collaborates with scholars based in United States, South Korea and United Kingdom. Yejin Choi's co-authors include Ronan Le Bras, Chandra Bhagavatula, Maarten Sap, Noah A. Smith and Ari Holtzman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Environmental Science & Technology and Analytical Chemistry
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