Neural Nets for NLP 2020 - Unsupervised and Semi-supervised Learning of Structure

Neural Nets for NLP 2020 - Unsupervised and Semi-supervised Learning of Structure

Graham Neubig via YouTube Direct link

How do we Use Learned Features?

4 of 15

4 of 15

How do we Use Learned Features?

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Neural Nets for NLP 2020 - Unsupervised and Semi-supervised Learning of Structure

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  1. 1 Supervised, Unsupervised, Semi-supervised
  2. 2 Learning Features vs. Learning Discrete Structure
  3. 3 Unsupervised Feature Learning (Review)
  4. 4 How do we Use Learned Features?
  5. 5 What About Discrete Structure?
  6. 6 What is our Objective?
  7. 7 A Simple First Attempt
  8. 8 Problem: Embeddings May Not be Indicative of Syntax
  9. 9 Normalizing Flow (Rezende and Mohamed 2015)
  10. 10 Cross-lingual Application of Unsupervised Models (He et al. 2019)
  11. 11 Soft vs. Hard Tree Structure
  12. 12 One Other Paradigm: Weak Supervision
  13. 13 Gated Convolution (Cho et al. 2014)
  14. 14 Learning with RL (Yogatama et al. 2016)
  15. 15 Difficulties in Learning Latent Structure

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