Rebecca Hwa
About
Rebecca Hwa has authored 48 papers that have received a total of 1.1k indexed citations.
This includes 43 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 4 papers in Molecular Biology. The topics of these papers are Natural Language Processing Techniques (33 papers), Topic Modeling (32 papers) and Text Readability and Simplification (8 papers). Rebecca Hwa is often cited by papers focused on Natural Language Processing Techniques (33 papers), Topic Modeling (32 papers) and Text Readability and Simplification (8 papers) and collaborates with scholars based in United States, United Kingdom and Canada. Rebecca Hwa's co-authors include Janyce Wiebe, Adriana Kovashka, Wen‐Ting Chung, Diane Litman and Yu‐Ru Lin and has published in prestigious journals such as Medical Care, Physica D Nonlinear Phenomena and Journal of the American Medical Informatics Association
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