Neural Nets for NLP 2020 - Unsupervised and Semi-supervised Learning of Structure
Graham Neubig via YouTube
Overview
Syllabus
Supervised, Unsupervised, Semi-supervised
Learning Features vs. Learning Discrete Structure
Unsupervised Feature Learning (Review)
How do we Use Learned Features?
What About Discrete Structure?
What is our Objective?
A Simple First Attempt
Problem: Embeddings May Not be Indicative of Syntax
Normalizing Flow (Rezende and Mohamed 2015)
Cross-lingual Application of Unsupervised Models (He et al. 2019)
Soft vs. Hard Tree Structure
One Other Paradigm: Weak Supervision
Gated Convolution (Cho et al. 2014)
Learning with RL (Yogatama et al. 2016)
Difficulties in Learning Latent Structure
Taught by
Graham Neubig