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Video Title: CSE Colloquia - 2005: Natural Language Processing
Description: Natural language processing offers a rich problem domain for machine learning approaches. Many NLP problems require the induction of a mapping that involves complex, discrete structures such as strings, labeled sequences, or trees. In this distinguished lecture, Michael Collins [Massachusetts Institute of Technology] describes how 'large margin' methods in machine learning can be generalized to 'structured' problems found in NLP.
Date of Video: December 7, 2005
Color. Sound. Length (min:sec): 58:16.
Copyright Info: ?? University of Washington ?? ResearchChannel
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Location of Original: ?? University of Washington ?? ResearchChannel
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Additional videos from the CSE Colloquia - 2005, The University of Washington Computer Science & Engineering Colloquium Series
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Contributor: Jon Glick
Collections: WashingtonVideos


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