| Tuesday | Thursday |
|---|---|
| Sep 8: Introduction to NLP problems | |
| Sep 13: NLP problems approached as classification problems | Sep 15: Language models, EM |
| Sep 20: Neural networks, neural language models | Sep 22: Supervised and unsupervised POS tagging |
| Sep 27: Recursive neural networks, application to tagging, sequences | Sep 29: – Intro to torch, theano, and tensorflow – |
| Oct 4: Parsing, generative, PCFGs | Oct 6: Dependency parsing, structured prediction |
| Oct 11: – Columbus day vacation – | Oct 13: Transition based parsing, neural model |
| Oct 18: Information extraction | Oct 20: Machine translation |
| Oct 25: MIDTERM EXAM | Oct 27: Language grounding, reinforcement learning |