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CS 366 Spring 2016 Schedule
Weekly readings are specified below. A “+” indicates additional readings will be made available via a link from this page. Lecture slides in PDF are obtained by clicking on the link to the topic.
Homeworks (prefixed with “HW”) are exercises that you should complete before the class labeling the row in which they appear. These will not be handed in or graded, but provide background to the lecture and it will be assumed you have completed them. The due date for each of the four large (graded) assignments (prefixed with “A”) will be specified in the assignment description.
Please note that this schedule is tentative and may change as the semester progresses. Please visit this page often!
| Date | Topic | Reading | Assignments | Supplemental materials |
|---|---|---|---|---|
| 1/28 | Introduction | J&M Ch. 1 | ||
| 2/2 | Morphology, tokenization | NLTK Ch. 1, J&M Ch. 2, 3.1 | ||
| 2/4 | Introduction to NLTK and Python | NLTK Ch. 3, 4 | HW1: NLTK Ch. 1, Ex. 4-7 | Python3.5 tutorial |
| 2/9 | Probability, Collocations, Ngrams | J&M Ch. 4, NLTK Ch. 2 | ||
| 2/16 | Machine Learning Weka tutorial | NLTK Ch. 6 | ||
| 2/23 | Sentiment Analysis | R1 , R2 (pp. 1-23) | ||
| 3/1 | Part of Speech Tagging, HMMs | J&M Ch. 5, 6, NLTK Ch. 5 | ||
| 3/29 | Lexical Semantics, word sense disambiguation | J&M Ch. 19, 20 | ||
| 4/5 | Parsing | J&M Ch. 13, 14, 15 | ||
| 4/12 | Discourse Phenomena | J&M Ch. 21 | ||
| 4/19 | Applications: Information extraction, named entity recognition | J&M Ch. 22 | ||
| 4/21 | Applications: Machine Translation | J&M Ch. 25 | ||
| 4/28 | TBA | – | ||
| 5/3 | Project presentations |