CMU Neural Nets for NLP - Model Interpretation

CMU Neural Nets for NLP - Model Interpretation

Graham Neubig via YouTube Direct link

Explanation Technique: Extractive Rationale Generation

14 of 15

14 of 15

Explanation Technique: Extractive Rationale Generation

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CMU Neural Nets for NLP - Model Interpretation

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  1. 1 Intro
  2. 2 Why interpretability?
  3. 3 Dictionary definition
  4. 4 Two broad themes
  5. 5 Comparing two directions
  6. 6 Source Syntax in NMT
  7. 7 Why neural translations are the right length?
  8. 8 Fine grained analysis of sentence embeddings
  9. 9 What you can cram into a single vector: Probing sentence embeddings for linguistic properties
  10. 10 How to evaluate?
  11. 11 Automatic evaluation
  12. 12 Explanation Technique: Influence Functions
  13. 13 Explanation Techniques: gradient based importance scores
  14. 14 Explanation Technique: Extractive Rationale Generation
  15. 15 Future Directions

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