CS 366 Spring 2020 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 for the class following the one labeling the row in which they appear. In some cases we will begin the homework in class; therefore, it is imperative that you do the reading before the class where the homework is assigned. Homeworks will not be graded, but they must be handed in to GitHub classroom. 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 |
|---|---|---|---|---|
| 1/22 | Introduction (PPT) | J&M Ch. 1 | ||
| 1/27 | Morphology and general text processing (PPT) | NLTK Ch. 1, J&M Ch. 3 pp. 45-68 | HW: Ex. 2.2, J&M | UNIX for Poets |
| 1/29 | Minimum Edit Distance (PPT) | J&M Ch. 3.11 | HW: J&M Ex. 3.10 and 3.11 | |
| 2/3 | Language models, probabilistic approaches, n-grams | J&M Ch. 4 (through 4.5.2), NLTK Ch. 2 | ||
| 2/5 | Ngram models, smoothing, discounting | J&M Ch. 4.5-4.9, 4.12 | ||
| 2/10 | Naive Bayes and Text Classification | J&M (3ed) Chapter 4 | ||
| 2/12 | Language models, probabilistic approaches, n-grams | J&M Ch. 4 (through 4.5.2), NLTK Ch. 2 | UNIX for Poets | |
| 2/17 | Introduction to NLTK and Python (PPT) | NLTK Ch. 3, 4, 5 | Python3 tutorial | |
| 2/19 | TBA |
s366/private/lectures/sentiment-analysis.pdf|Sentiment Analysis]] | J&M ch. 6 (3rd ed.), J&M ch. 18 (3rd ed.) R1 | | |
| 3/5 | Information extraction, named entity recognition | |||
| 3/26 | Part of Speech Tagging, HMMs | J&M Ch. 9 (3rd ed.),J&M Ch. 10 (3rd ed.), NLTK Ch. 5 | Viterbi handout Project proposal guidelines | |
| 4/2 | Lexical Semantics, word sense disambiguation | J&M ch. 15 (3rd ed.), J&M ch. 16 (3rd ed.), J&M ch. 17 (3rd ed.) | ||
| 4/9 | Vector semantics Neural nets | J&M Ch. 8 (3rd ed.) | ||
| 4/16 | Parsing | J&M Ch. 12 (3rd ed.), J&M Ch. 13 (3rd ed.), J&M Ch. 14 (3rd ed.); NLTK Ch. 8 | ||
| 4/23 | Discourse | J&M Ch. 21 | ||
| 4/30 | Project presentations | Presentation outline | ||
| 5/2 | Project presentations | |||
| 5/15 | Poster session, 3-5PM Olmsted Atrium | Poster template (PPT) Poster contents |