Matt Post

50 papers and 2.3k indexed citations i.

Matt Post has authored 50 papers that have received a total of 2.3k indexed citations. This includes 48 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. The topics of these papers are Natural Language Processing Techniques (45 papers), Topic Modeling (40 papers) and Text Readability and Simplification (11 papers). Matt Post is often cited by papers focused on Natural Language Processing Techniques (45 papers), Topic Modeling (40 papers) and Text Readability and Simplification (11 papers) and collaborates with scholars based in United States, United Kingdom and The Netherlands. Matt Post's co-authors include Philipp Koehn, Christof Monz, Chris Callison-Burch, Kevin Duh and Lucia Specia and has published in prestigious journals such as Language and Speech, Language Resources and Evaluation and Transactions of the Association for Computational Linguistics.