CMU Advanced NLP: Structured Learning Algorithms

CMU Advanced NLP: Structured Learning Algorithms

Graham Neubig via YouTube Direct link

Introduction

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1 of 19

Introduction

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Classroom Contents

CMU Advanced NLP: Structured Learning Algorithms

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  1. 1 Introduction
  2. 2 Types of prediction
  3. 3 Teacher forcing
  4. 4 Evaluation metrics
  5. 5 Structured prediction
  6. 6 Reminder
  7. 7 Globally normalized models
  8. 8 Sampling and Beam Search
  9. 9 Structured Perceptron
  10. 10 Global Structured Perceptron
  11. 11 Structured Training Pretraining
  12. 12 Hinge Loss
  13. 13 Cost Augmented Hinge Loss
  14. 14 Cost Over Sequences
  15. 15 Structured Hinge Loss
  16. 16 Label Smoothing vs Hinge Loss
  17. 17 Contrastive Learning
  18. 18 Teacher Forced
  19. 19 Selftraining

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