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