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10/23/2014 - Distinguished Computational Linguistics Lecture: Dan Roth - "Learning and Inference for Natural Language Understanding"
12:30 PM
Golisano College and the College of Liberal Arts present the Distinguished Computational Linguistics Lecture, featuring Dan Roth, Professor, Computer Science and the Beckman Institute - University of Illinois at Urbana/ChampaignAbstract "Learning and Inference for Natural Language Understanding" - Machine Learning and Inference methods have become ubiquitous and have had a broad impact on a range of scientific advances and technologies and on our ability to make sense of large amounts of data. Research in Natural Language Processing has both benefited from and contributed to advancements in these methods and provides an excellent example for some of the challenges we face moving forward. I will describe some of our research in developing learning and inference methods in pursue of natural language understanding. In particular, I will address what I view as some of the key challenges, including (i) learning models from natural interactions, without direct supervision, (ii) knowledge acquisition and the development of inference models capable of incorporating knowledge and reason, and (iii) scalability and adaptation—learning to accelerate inference during the life time of a learning system. Lecturer Bio: Dan Roth is a Professor in the Department of Computer Science and the Beckman Institute at the University of Illinois at Urbana-Champaign and a University of Illinois Scholar. Roth is a Fellow of the ACM, AAAI and ACL, for his contributions to Machine Learning and to Natural Language Processing. 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 by the research community and commercially. Prof. Roth received his B.A Summa cum laude in Mathematics from the Technion, Israel, and his Ph.D. in Computer Science from Harvard University in 1995.(Thursday, October 23rd, 12:30 PM to 1:45 PM -Golisano Auditorium)
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