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Supervised, Unsupervised, Semi-supervised
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Classroom Contents
Neural Nets for NLP 2020 - Unsupervised and Semi-supervised Learning of Structure
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- 1 Supervised, Unsupervised, Semi-supervised
- 2 Learning Features vs. Learning Discrete Structure
- 3 Unsupervised Feature Learning (Review)
- 4 How do we Use Learned Features?
- 5 What About Discrete Structure?
- 6 What is our Objective?
- 7 A Simple First Attempt
- 8 Problem: Embeddings May Not be Indicative of Syntax
- 9 Normalizing Flow (Rezende and Mohamed 2015)
- 10 Cross-lingual Application of Unsupervised Models (He et al. 2019)
- 11 Soft vs. Hard Tree Structure
- 12 One Other Paradigm: Weak Supervision
- 13 Gated Convolution (Cho et al. 2014)
- 14 Learning with RL (Yogatama et al. 2016)
- 15 Difficulties in Learning Latent Structure
