homepage: | http://l2r.cs.uiuc.edu/ |
search externally: | Google Scholar, Springer, CiteSeer, Microsoft Academic Search, Scirus , DBlife |
Description
My 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.
My work centers around the study of machine learning and inference methods to facilitate natural language understanding. In doing that I have pursued several interrelated lines of work that span multiple aspects of this problem - from fundamental questions in learning and inference and how they interact, to the study of a range of natural language processing (NLP) problems, including multiple disambiguation problems, shallow parsing, semantic role labeling, co-reference, question answering and textual entailment, to large scale Natural Language Processing and Information Extraction system development - resulting in a number of software packages for NLP tools that are available from my web site and are widely used by the community.
Lectures:
opening Opening Ceremony as author at 25th AAAI Conference on Artificial Intelligence, San Francisco 2011, together with: Wolfram Burgard, 2678 views |
lecture Constraints as Prior Knowledge as author at Workshops, 3264 views |
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invited talk Amortized Integer Linear Programming Inference as author at NIPS Workshops, Lake Tahoe 2013, 1685 views |