Mohit Iyyer
About
Mohit Iyyer has authored 50 papers that have received a total of 1.6k indexed citations.
This includes 45 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. The topics of these papers are Topic Modeling (45 papers), Natural Language Processing Techniques (40 papers) and Multimodal Machine Learning Applications (13 papers). Mohit Iyyer is often cited by papers focused on Topic Modeling (45 papers), Natural Language Processing Techniques (40 papers) and Multimodal Machine Learning Applications (13 papers) and collaborates with scholars based in United States, China and Poland. Mohit Iyyer's co-authors include Kalpesh Krishna, Jordan Boyd‐Graber, Tu Vu, John Wieting and Hal Daumé and has published in prestigious journals such as Language Resources and Evaluation.
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