CMU Neural Nets for NLP 2018 - Conditioned Generation

CMU Neural Nets for NLP 2018 - Conditioned Generation

Graham Neubig via YouTube Direct link

Perplexity

12 of 13

12 of 13

Perplexity

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CMU Neural Nets for NLP 2018 - Conditioned Generation

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  1. 1 Intro
  2. 2 Language Models Language models are generative models of text
  3. 3 Conditioned Language Models
  4. 4 Ancestral Sampling
  5. 5 Ensembling
  6. 6 Linear or Log Linear?
  7. 7 Parameter Averaging
  8. 8 Ensemble Distillation (e.g. Kim et al. 2016)
  9. 9 Stacking
  10. 10 Basic Evaluation Paradigm
  11. 11 Human Evaluation
  12. 12 Perplexity
  13. 13 A Contrastive Note: Evaluating Unconditioned Generation

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