|
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
Announcements:
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) |
Questions, Solutions |
| Week 3 (Jan 31st-Feb 6th) | Parsing, and Context-free Grammars (Slides) | Courseworks videos: [1] All of Module 7; [2] 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: [1] Module 8, sections 8-4 to 8-6; [2] All of Module 9; [3] All of Module 10 | Notes on Probabilistic Context-Free Grammars (required reading) |
Questions, Solutions | |
| Week 5 (Feb 14th-20th) | Log-Linear Models (Slides) | All videos in Module 15 on Courseworks. | Notes on Log-Linear Models (required reading) |
Questions, Solutions | |
| 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) |
Questions, Solutions | |
| Week 7 (Feb 28th-March 6th) | Feedforward Neural Networks (Slides) | Module 22 videos in Courseworks.
|
Notes on Feedforward Neural Networks (required reading) |
Questions, Solutions | |
| Week 8 (March 26th-30th) | Computational Graphs, and Backpropagation (Slides) | Module 23 videos in Courseworks.
|
Notes on Computational Graphs, and Backpropagation (required reading) |
Questions, Solutions | |
| 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) |
Questions, Solutions | |
| 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 |