Gabriel Stanovsky

35 papers and 471 indexed citations i.

Gabriel Stanovsky has authored 35 papers that have received a total of 471 indexed citations. This includes 31 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 3 papers in Molecular Biology. The topics of these papers are Topic Modeling (30 papers), Natural Language Processing Techniques (27 papers) and Multimodal Machine Learning Applications (8 papers). Gabriel Stanovsky is often cited by papers focused on Topic Modeling (30 papers), Natural Language Processing Techniques (27 papers) and Multimodal Machine Learning Applications (8 papers) and collaborates with scholars based in Israel, United States and France. Gabriel Stanovsky's co-authors include Ido Dagan, Roy Schwartz, Luke Zettlemoyer, Noah A. Smith and Iryna Gurevych and has published in prestigious journals such as Communications of the ACM and Transactions of the Association for Computational Linguistics.