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PROFESSORS IN NATURAL LANGUAGE PROCESSING (NLP)

Showing page 3 of 3 — 50 professors available publicly

Anh Nguyen

Anh Nguyen

Natural Language Processing (NLP) Explainable Artificial Intelligence (Explainable AI) Trustworthy Artificial Intelligence

I'm interested in (1) understanding the weaknesses, behaviors, and inner-workings of AIs; and (2) making these systems more trustworthy and explainable. Below are selected projects in Vision, NLP, Explainable AI, and HCI where I'm a lead contributor (the first or senior author). ...

Mark Yatskar

Mark Yatskar

Natural Language Processing (NLP) gender bias amplification language-structured visual perception

I am an Assistant Professor at University of Pennsylvania in the department of Computer and Information Science. I did my PhD at University of Washington co-advised by Luke Zettlemoyer and Ali Farhadi. I was a Young Investigator at the Allen Institute for Artificial Intelligence ...

Brendan O'Connor

Brendan O'Connor

Natural Language Processing (NLP) Computational Social Science Racial Bias in NLP

Brendan O'Connor is an associate professor in the Manning College of Information and Computer Sciences (CICS) at the University of Massachusetts Amherst, who works in the intersection of computational social science and natural language processing (NLP) — studying how social fa...

Vivek Srikumar

Vivek Srikumar

Natural Language Processing (NLP) Neuro-symbolic Methods Low-resource Multilingual Systems

I am an associate professor in the Kahlert School of Computing at the University of Utah, where I co-lead the Utah NLP group and am a member of the Utah Center for Data Science and AI. I study how we can create reliable AI solutions for constrained environments where data or r...

Card, Dallas

Card, Dallas

Natural Language Processing (NLP) Historic Text Mining Bias in Machine Learning Systems

Dr. Dallas Card is an Assistant Professor of Information in the School of Information at the University of Michigan, Ann Arbor, where he works at the intersection of machine learning, natural language processing (NLP), and data science with a strong focus on understanding society...

Vincent Ng

Vincent Ng

Natural Language Processing (NLP) Unsupervised and Semi-Supervised NLP Methods Discourse and Coreference Resolution

Vincent Ng, Ph.D. is a Professor of Computer Science at The University of Texas at Dallas and Director of the Computing Scholars Honors Program. He is also affiliated with the Human Language Technology Research Institute. His research focuses on machine learning for natural langu...

Dora Demszky

Dora Demszky

Natural Language Processing (NLP) Dialogic Instructional Practices Feedback Textbook Representation Analysis

Dr. Demszky is an Assistant Professor in Education Data Science at the Graduate School of Education at Stanford University. She works on developing natural language processing methods to support equitable and student-centered instruction. She has developed tools to give feedback ...

Razvan Bunescu

Razvan Bunescu

Natural Language Processing (NLP) music information retrieval language understanding

Razvan C. Bunescu is an Associate Professor of Computer Science at the University of North Carolina at Charlotte. He received his Ph.D. from the University of Texas at Austin and conducts research in machine learning and natural language processing. His work focuses on applying A...

Diana Inkpen

Diana Inkpen

Computational Linguistics Natural Language Processing (NLP) Dialogue Systems

I obtained my Ph.D. from the University of Toronto, Department of Computer Science. I have a M.Sc. and B.Eng. degree in Computer Science and Engineering from the Technical University of Cluj-Napoca, Romania. My research is in applications of Computational Linguistics. I org...

Andreas Vlachos

Andreas Vlachos

Natural Language Processing (NLP) Dialogue Modelling Automated Fact Checking

I am Professor of Natural Language Processing and Machine Learning at the Department of Computer Science and Technology at the University of Cambridge. Current projects include dialogue modelling, automated fact checking and imitation learning. I have also worked on semantic pars...