Neural Nets for NLP 2020 - Structured Prediction with Local Independence Assumptions

Neural Nets for NLP 2020 - Structured Prediction with Local Independence Assumptions

Graham Neubig via YouTube Direct link

Intro

1 of 12

1 of 12

Intro

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Neural Nets for NLP 2020 - Structured Prediction with Local Independence Assumptions

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  1. 1 Intro
  2. 2 A Prediction Problem
  3. 3 Types of Prediction
  4. 4 Why Call it "Structured" Prediction?
  5. 5 Why Model Interactions in Output? . Consistency is important
  6. 6 Sequence Labeling as
  7. 7 Recurrent Decoder
  8. 8 Local Normalization vs. Global Normalization
  9. 9 Conditional Random Fields
  10. 10 CRF Training & Decoding
  11. 11 Revisiting the Partition Function
  12. 12 Forward Calculation: Final Part Finish up the sentence with the sentence final symbol

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