Dan Iter
About
Dan Iter has authored 11 papers that have received a total of 135 indexed citations.
This includes 10 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. The topics of these papers are Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers) and Text Readability and Simplification (2 papers). Dan Iter is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers) and Text Readability and Simplification (2 papers) and collaborates with scholars based in United States and France. Dan Iter's co-authors include Michael Zeng, Ruochen Xu, Chenguang Zhu, Yang Liu and Dan Jurafsky and has published in prestigious journals such as and
In The Last Decade
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