Melvin Johnson
About
Melvin Johnson has authored 16 papers that have received a total of 1.6k indexed citations.
This includes 16 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 1 paper in General Social Sciences. The topics of these papers are Natural Language Processing Techniques (15 papers), Topic Modeling (15 papers) and Multimodal Machine Learning Applications (7 papers). Melvin Johnson is often cited by papers focused on Natural Language Processing Techniques (15 papers), Topic Modeling (15 papers) and Multimodal Machine Learning Applications (7 papers) and collaborates with scholars based in United States, United Kingdom and Israel. Melvin Johnson's co-authors include Orhan Fırat, Aditya Siddhant, Yonghui Wu, Sebastian Ruder and Graham Neubig and has published in prestigious journals such as Transactions of the Association for Computational Linguistics
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