TAs and Office Hours:
Tom Effland - Friday noon-1.30pm, CEPSR 721
Danning Zheng - Thursday 4.15pm-5.45pm, computer science TA room
Xingyu Chen - Tuesday 2.30pm-4pm, computer science TA room
Past midterms for the class are here: fall 2011, fall 2012, fall 2013, fall 2014.
|Date||Topics||Video Lectures||References||Flipped Classroom Materials|
|Week 1 (January 17th-23rd)||Introduction to NLP,
Language Modeling (Slides)
|Modules 1-5 in courseworks.||Sections 1.1-1.4 of
Notes on language modeling (required reading).
||Questions (part 1), Solutions (part 1) Questions (part 2), Solutions (part 2)||Week 2 (Jan 24th-30th)||Tagging, and Hidden Markov Models (Slides)||Week 2 Coursera videos from The tagging problem (10:01) to Summary (1:50) inclusive. (Module 6 in courseworks.)||Notes on tagging problems, and hidden Markov models (required reading)
|Week 3 (Jan 31st-Feb 6th)||Parsing, and Context-free Grammars (Slides)||Courseworks videos:  All of Module 7;  Module 8, sections 8-1 to 8-3 inclusive||Questions, Solutions|
|Week 4 (Feb 7th-13th)||Probabilistic Context-free Grammars (continued), and lexicalized context-free grammars (Slides part 1) (Slides part 2), (Slides part 3)||Courseworks videos:  Module 8, sections 8-4 to 8-6;  All of Module 9;  All of Module 10||Notes on Probabilistic Context-Free Grammars (required reading)
|Week 5 (Feb 14th-20th)||Log-Linear Models (Slides)||All videos in Module 15 on Courseworks.||Notes on Log-Linear Models (required reading)
|Week 6 (Feb 21st-Feb 27th)||Log-Linear Models for Tagging, and for history-based parsing (Slides part 1), (Slides part 2).||Modules 16 and 17 in courseworks.||Notes on MEMMs (Log-Linear Tagging Models) (required reading)
|Week 7 (Feb 28th-March 6th)||Feedforward Neural Networks (Slides)||Module 22 videos in Courseworks.
|Notes on Feedforward Neural Networks (required reading)
|Week 8 (March 26th-30th)||Computational Graphs, and Backpropagation (Slides)||Module 23 videos in Courseworks.
|Notes on Computational Graphs, and Backpropagation (required reading)
|Week 9 (April 2nd-April 6th)||Word Embeddings in Feedforward Networks; Tagging and Dependency Parsing using Feedforward Networks (Slides)||Module 24 videos in Courseworks.
|Week 10 (April 9th-April 13th)||The IBM Translation Models (Slides)||Modules 11-12 in Courseworks.||Notes on Statistical Machine Translation: IBM Models 1 and 2 (required reading)
|Week 11 (April 16th-April 20th)||Recurrent Networks, and LSTMs, for NLP (Slides)||Module 25 in Courseworks.||Questions, Solutions|
|Week 12 (April 23rd-April 27th)||Recurrent Networks, and attention, for statistical machine translation (Slides)||Module 26 in Courseworks.||Questions, Solutions|