CMU Advanced NLP: Introduction to NLP

CMU Advanced NLP: Introduction to NLP

Graham Neubig via YouTube Direct link

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9 of 20

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Classroom Contents

CMU Advanced NLP: Introduction to NLP

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  1. 1 Intro
  2. 2 NLP Failures
  3. 3 Entities in Text
  4. 4 Class Objectives
  5. 5 NLP Systems
  6. 6 Feature Extraction
  7. 7 RuleBased Sentiment
  8. 8 Extract Features
  9. 9 Run Classifier
  10. 10 Labels
  11. 11 Plain Text
  12. 12 Live Coding
  13. 13 Tokenization
  14. 14 Error Analysis
  15. 15 Difficult Cases
  16. 16 Conjugation
  17. 17 Depth
  18. 18 PositiveNegative
  19. 19 NLP Methods
  20. 20 Neural Network Models

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