Week |
Topics |
References |
--- Slides (provided below for convenience) correspond to roughly 70% of the actual class material.
The rest will be delivered on the chalkboard. ---
|
01 [Jan 27-31] |
Introduction [slides]
& Language Models [slides] |
|
02 [Feb 03-07] |
Language Models & Information Theory [slides ] |
|
03 [Feb 10-14] |
Text Categorization & Machine Learning Basics [slides] |
|
04 [Feb 17-21] |
Part-of-Speech & Sequence Tagging [slides]
|
|
05 [Feb 24-28] |
Part-of-Speech & Sequence Tagging [slides]
|
|
06 [Mar 03-07] |
Hidden Markov Models[slides] |
|
07 [Mar 10-14] |
Maximum Entropy Models & Conditional Random Fields [slides] |
|
08 [Mar 17-21] |
Spring Break!
|
|
09 [Mar 24-28] |
Context Free Grammars [slides]
& Parsing [slides]
|
|
10 [Mar 31-04] |
Statistical Parsing [slides]
|
|
11 [Apr 07-11] |
Beyond CFG [slides]
& Machine Translation [slides]
|
|
12 [Apr 14-18] |
Machine Translation [slides]
-
Project Update Presentation (Apr 14 MON)
|
|
13 [Apr 21-25] |
Discourse [slides]
|
|
14 [Apr 28-02] |
Information Extraction [slides] |
|
15 [May 05-08] |
Hypothesis Testing [slides]
-
Final Project Presentation I (May 08 FRI)
-
Final Project Presentation II (May 12 MON)
|
|