Michael Flor
About
Michael Flor has authored 23 papers that have received a total of 207 indexed citations.
This includes 19 papers in Artificial Intelligence, 9 papers in Developmental and Educational Psychology and 4 papers in Information Systems. The topics of these papers are Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers) and Text Readability and Simplification (7 papers). Michael Flor is often cited by papers focused on Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers) and Text Readability and Simplification (7 papers) and collaborates with scholars based in United States and Israel. Michael Flor's co-authors include Beata Beigman Klebanov, Jiangang Hao, Kathleen M. Sheehan, Alina A. von Davier and Lei Chen and has published in prestigious journals such as The Elementary School Journal, Journal of Computer Assisted Learning and Transactions of the Association for Computational Linguistics.
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