10-601 Structured Output Learning and NLP
From Cohen Courses
Revision as of 12:21, 1 December 2014 by Wcohen (talk | contribs) (Created page with "This a lecture used in the Syllabus for Machine Learning 10-601 in Fall 2014 === Slides === * [http://www.cs.cmu.edu/~wcohen/10-601/nlp-and-ml.pptx Slides in PowerPoint]...")
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
