Neural Nets for NLP 2021 - Structured Prediction with Local Independence Assumptions

Neural Nets for NLP 2021 - Structured Prediction with Local Independence Assumptions

Graham Neubig via YouTube Direct link

CS11-747 Neural Networks for NLP

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1 of 21

CS11-747 Neural Networks for NLP

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Neural Nets for NLP 2021 - Structured Prediction with Local Independence Assumptions

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  1. 1 CS11-747 Neural Networks for NLP
  2. 2 A Prediction Problem
  3. 3 Types of Prediction
  4. 4 Why Call it "Structured" Prediction?
  5. 5 Many Varieties of Structured Prediction!
  6. 6 Why Model Interactions in Output? . Consistency is important! time flies like an arrow
  7. 7 Sequence Labeling w
  8. 8 Recurrent Decoder
  9. 9 Teacher Forcing and Exposure Bias
  10. 10 An Example of Exposure Bias
  11. 11 Models w/ Local Dependencies
  12. 12 Local Normalization vs. Global Normalization
  13. 13 Conditional Random Fields
  14. 14 Potential Functions
  15. 15 BILSTM-CRF for Sequence Labeling
  16. 16 CRF Training & Decoding
  17. 17 Forward Calculation Middle Parts
  18. 18 Forward Calculation: Final Part • Finish up the sentence with the sentence final symbol
  19. 19 Revisiting the Partition Function
  20. 20 Training Details
  21. 21 Generalized Dynamic Programming Models • Decomposition Structure: What structure to use, and thus also what dynamic programming to perform? . Featurization: How do we calculate local scores?

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