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TAs and Office Hours:
Chandra Shankar Kappera - Monday 9:00am to 10:30am, computer science TA room
Zehao Song - Tuesday 10:00am to 11:30am, computer science TA room
Kartikeya Upasani - Wednesday 11:00am to 12:30pm, computer science TA room
Announcements:
Past midterms for the class are here: fall 2011, fall 2012, fall 2013.
| Date | Topics | Video Lectures | References | Flipped Classroom Materials | |
| Week 1 (Sept 4th-8th) | Introduction to NLP, Language Modeling (part 1) (Slides) |
Week 1 Coursera videos from Introduction (Part 1) (11:17) to Markov Processes (Part 2) (7:12) inclusive. | Sections 1.1 and 1.2 of
Notes on language modeling (required reading). |
Questions, Solutions | |
| Week 2 (Sept 11th-15th) | Language Modeling (part 2) (Slides same as Week 1) | Week 1 Coursera videos from Trigram Language Models (9:40) to Summary (2:31) inclusive.
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Sections 1.3 and 1.4 of
Notes on language modeling (required reading) |
Questions, Solutions | Week 3 (Sept. 18th-22nd) | Tagging, and Hidden Markov Models (Slides) | Week 2 Coursera videos from The tagging problem (10:01) to Summary (1:50) inclusive. | Notes on tagging problems, and hidden Markov models (required reading) |
Questions, Solutions |
| Week 4 (Sept. 25th-29th) | Parsing, and Context-free Grammars (Slides) | Week 3 - Parsing, and Context-free Grammars Coursera videos from Introduction (0:28) to Examples of Ambiguity (5:56) inclusive. | Questions, Solutions | ||
| Week 5 (Oct 2nd-6th) | Probabilistic Context-free Grammars (Slides) | Week 3 - Probabilistic Context-Free Grammars (PCFGs) Coursera videos from Introduction (1:12) to The CKY Parsing Algorithm (Part 3) (10:07) inclusive. | Notes on Probabilistic Context-Free Grammars (required reading) |
Questions, Solutions | |
| Week 6 (Oct 9th-13th) | Lexicalized PCFGs (Slides part 1), (Slides part 2) | All Week 4 Coursera videos, covering Weaknesses of PCFGs and Lexicalized PCFGs | Notes on Lexicalized Probabilistic Context-Free Grammars (required reading) |
Questions, Solutions | |
| Week 7 (Oct 16th-20th) | Mid-term | Note: no flipped classrooms this week, but extra office hours on Oct 16th. | |||
| Week 8 (Oct 23rd-27th) | Log-Linear Models (Slides) | All Week 7 Coursera videos, covering Log-Linear Models.
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Notes on Log-Linear Models (required reading) |
Questions, Solutions | |
| Week 9 (Oct 30th-Nov 3rd) | Log-Linear Models for Tagging (Slides), and Global Linear Models (Slides) | Week 8 - Log-Linear Models for Tagging (MEMMs) Coursera videos,
and
Week 9 - Global Linear Models (GLMs) Coursera videos.
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Notes on MEMMs (Log-Linear Tagging Models) (required reading) |
Questions, Solutions | |
| Week 10 (Nov 6th-10th) | Feedforward Neural Networks (Slides) | Section 22 videos in Courseworks.
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Notes on Feedforward Neural Networks (required reading) |
Questions, Solutions | |
| Week 11 (Nov 13th-17th) | Computational Graphs, and Backpropagation (Slides) | Section 23 videos in Courseworks.
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Notes on Computational Graphs, and Backpropagation (required reading) |
Questions, Solutions | |
| Week 12 (Nov 27th-Dec 1st) | Word Embeddings in Feedforward Networks; Tagging and Dependency Parsing using Feedforward Networks (Slides) | Section 24 videos in Courseworks.
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