Daniel Gildea
About
Daniel Gildea has authored 91 papers that have received a total of 3.4k indexed citations.
This includes 83 papers in Artificial Intelligence, 11 papers in Computational Theory and Mathematics and 9 papers in Computer Vision and Pattern Recognition. The topics of these papers are Natural Language Processing Techniques (79 papers), Topic Modeling (63 papers) and Algorithms and Data Compression (23 papers). Daniel Gildea is often cited by papers focused on Natural Language Processing Techniques (79 papers), Topic Modeling (63 papers) and Algorithms and Data Compression (23 papers) and collaborates with scholars based in United States, Italy and China. Daniel Gildea's co-authors include Xiaochang Peng, Iftekhar Naim, Linfeng Song, Ding Liu and Giorgio Satta and has published in prestigious journals such as Communications of the ACM, The Journal of the Acoustical Society of America and IEEE Transactions on Knowledge and Data Engineering.
In The Last Decade
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