6.806/6.864 Advanced Natural Language Processing (Fall 2016)


Tentative schedule of lectures

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