Hal Daumé
About
Hal Daumé has authored 132 papers that have received a total of 6.3k indexed citations.
This includes 113 papers in Artificial Intelligence, 25 papers in Computer Vision and Pattern Recognition and 10 papers in Information Systems. The topics of these papers are Topic Modeling (66 papers), Natural Language Processing Techniques (52 papers) and Machine Learning and Algorithms (16 papers). Hal Daumé is often cited by papers focused on Topic Modeling (66 papers), Natural Language Processing Techniques (52 papers) and Machine Learning and Algorithms (16 papers) and collaborates with scholars based in United States, United Kingdom and Canada. Hal Daumé's co-authors include Jordan Boyd‐Graber, Piyush Rai, He He, Amit Goyal and Daniel Marcu and has published in prestigious journals such as The Journal of Chemical Physics, PLoS ONE and Proceedings of the IEEE
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