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 |