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| Video Title:
| CSE Colloquia - 2005: Natural Language Processing
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| 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.
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| Date of Video:
| December 7, 2005
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| Color. Sound. Length (min:sec): 58:16.
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| Copyright Info:
| ?? University of Washington ?? ResearchChannel
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| Interesting Clips:
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| Location of Original:
| ?? University of Washington ?? ResearchChannel
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| Comments:
| Windows Media Player
- Modem/ISDN (56kbps)
- DSL/Cable (256kbps+)
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QuickTime
- DSL/Cable (256kbps+)
- DSL/Cable (1.5Mbps+)
Additional videos from the CSE Colloquia - 2005, The University of Washington Computer Science & Engineering Colloquium Series
Research Channel home
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| Contributor:
| Jon Glick
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Comment/Query/Broken link
