Jacob Devlin
About
Jacob Devlin has authored 26 papers that have received a total of 1.7k indexed citations.
This includes 22 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. The topics of these papers are Natural Language Processing Techniques (16 papers), Topic Modeling (15 papers) and Multimodal Machine Learning Applications (8 papers). Jacob Devlin is often cited by papers focused on Natural Language Processing Techniques (16 papers), Topic Modeling (15 papers) and Multimodal Machine Learning Applications (8 papers) and collaborates with scholars based in United States, United Kingdom and Mexico. Jacob Devlin's co-authors include Pushmeet Kohli, Rabih Zbib, Margaret Mitchell, Zhongqiang Huang and Xiaodong He and has published in prestigious journals such as NeuroImage, Transactions of the Association for Computational Linguistics and Computer Speech & Language
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