Difference between revisions of "10-601 Structured Output Learning and NLP"
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Latest revision as of 12:21, 1 December 2014
This a lecture used in the Syllabus for Machine Learning 10-601 in Fall 2014
Slides
Readings
- None
Summary
You should know:
- How named entity recognition can be reduced to token-tagging with begin-end-outside tags
- What structured output learning is, and why it is different from independently classifying each token in a sequence
- What a linear-chain CRF is
