Distinguished Lecture Series to feature renowned professor Dan Roth

April 08, 2019
Dan Roth

Dan Roth

IMAGE: Provided

UNIVERSITY PARK, Pa. – The College of Information Sciences and Technology will host Dan Roth, professor of computer and information science at the University of Pennsylvania, in an upcoming segment of its Distinguished Lecture Series.

Held April 18, the event will begin with a networking reception from 3:15-4 p.m. in the West Atrium of the Westgate Building and will follow with a lecture from 4-5 p.m. in 114 Earth and Engineering Sciences Building.

Roth’s talk, titled “Natural Language Understanding with Incidental Supervision,” will explore his research on developing machine learning and inference methods in pursuit of understanding natural language text, with a focus on identifying and using incidental supervision signals in pursuing a range of semantics tasks. He will also address some of the key challenges and possible directions for studying this problem from a principled perspective.    

Roth is the Eduardo D. Glandt Distinguished Professor at the University of Pennsylvania, and a Fellow of the AAAS, the ACM, AAAI, and the ACL. In 2017, Roth received the John McCarthy Award, the highest award the AI community gives to mid-career AI researchers, for “major conceptual and theoretical advances in the modeling of natural language understanding, machine learning, and reasoning.”

He has published broadly in machine learning, natural language processing, knowledge representation and reasoning, and learning theory, and has developed advanced machine learning based tools for natural language applications that are being used widely. Until February 2017 Roth was the editor-in-chief of the Journal of Artificial Intelligence Research (JAIR).

Roth received his bachelor of arts in mathematics summa cum laude from the Technion-Israel Institute of Technology, and his doctorate in computer science from Harvard University in 1995.

The lecture is free and open to the public.

Last Updated April 09, 2019