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