A professor of Linguistics and Computer Science, and chair of the Linguistics. She is the author of A Resource-light Approach to Morpho-syntactic Tagging (Brill). Her most recent projects deal with the computational processing of figurative language and Internet censorship. She is a recipient of nine NSF awards. She is a co-organizer of the annual workshop on NLP4IF: Natural Language Processing for Internet Freedom — Censorship, Disinformation, and Propaganda (http://www.netcopia.net/nlp4if/) and a series of workshops on figurative language processing (https://sites.google.com/view/figlang2022). 

A professor at the College of Science and Mathematics. Reinforcement learning and its applications to control and multi-agent systems is where his doctoral studies originated. In general terms, reinforcement learning is concerned with computational approaches to learning from reward. Here, he considers how a learning agent can learn as quickly as possible from limited interaction with other agents and its environment.

 

Raz is Head of AI at Seek AI and a graduate research assistant at the NLP Lab at Montclair State University, where they are a final-semester MS student in computational linguistics. In 2021, Raz graduated from the Great Books Program at St. John's College with a BA in Liberal Arts.

Raz's current research interests are in computational semantics, where they focus on semantic parsing – notably SQL generation. Raz has also worked on research in the performance of transformer-based language models with morphologically rich languages, especially those that are highly agglutinative and/or polysynthetic, and display exceptional rates of productivity and holophrasis.

An associate professor in the Writing Studies department at Montclair State University. He has published essays about our posthuman past and future in Technical Communication Quarterly, Pre/Text: A Journal of Rhetorical Theory, Enculturation, and Hyperrhiz.