Dan Roth (Hebrew: דן רוט) is the Eduardo D. Glandt Distinguished Professor of Computer and Information Science at the University of Pennsylvania[4] and the Chief AI Scientist at Oracle.

Roth got his B.A summa cum laude in Mathematics from the Technion, Israel and his Ph.D in Computer Science from Harvard University in 1995.

In doing that he has pursued several interrelated lines of work that span multiple aspects of this problem - from fundamental questions in learning and inference and how they interact,[12] to the study of a range of natural language processing (NLP) problems and developing advanced machine learning based tools for natural language applications.

[16] Roth has worked on probabilistic reasoning (including its complexity[17] and probabilistic lifted inference [18]), Constrained Conditional Models (ILP formulations of NLP problems) and constraints-driven learning,[19][20] part-based (constellation) methods in object recognition,[21] response based Learning,[22] He has developed NLP and Information extraction tools that are being used broadly by researchers and commercially, including NER, coreference resolution, wikification, SRL, and ESL text correction.

[13] Roth is a co-founder of NexLP, Inc., a startup that applies natural language processing and machine learning in the legal and compliance domains.