Our research focuses on the computational foundations of intelligent behavior. We develop theories and systems pertaining to intelligent behavior using a unified methodology — at the heart of which is the idea that learning has a central role in intelligence. Specifically, we focus on developing theories and systems for Natural Language Understanding and Information Access, as well as on Machine Learning and Inference approaches that facilitate it.
Our work spans several aspects of these problems — from theoretical questions in machine learning, knowledge representation and reasoning to experimental paradigms and large scale system development — and draws on methods from theoretical computer science, probability and statistics, artificial intelligence, linguistics and experimental computer science.
The group was begun by Professor Dan Roth in 1999 at the University of Illinois, Urbana-Champaign. We’ve been at the University of Pennsylvania since 2017.