Lecture Notes and Assigned Readings

Date Lecture Topic and Handouts

Readings

Assignments

Thurs 1/23 Introduction to the field and to the course Jurafsky & Martin (J&M) chapter 1

 

Tues 1/28 Generative models of language J&M 4-4.2  
Thurs 1/30

Unsmoothed n-gram models

 

 

Tues 2/4 Smoothing J&M 4.3-4.5  
Thurs 2/6

Smoothing, Interpolation and Backoff

J&M 4.6-4.8

critique 1 due: WEDS 2/5

Tues 2/11 Lexical semantics J&M 19-19.3  
Thurs 2/13 Word sense disambiguation J&M 20-20.4  
Tues 2/18 NO CLASS - FEBRUARY BREAK    
Thurs 2/20

WSD evaluation (see slides from last class)

J&M 20.5 project part 1 due, WEDS 2/19 11:59pm
Tues 2/25

NO CLASS

  project 1 (whole) due, WEDS 2/26 11:59pm
Thurs 2/27 WSD: bootstrapping methods    
Tues 3/4 POS tagging J&M 5-5.3  
Thurs 3/6 HMMs for POS tagging J&M 5.5, 5.7 project 2 proposal due at class time (CMS and hardcopy)
Tues 3/11 NE recognition J&M 22-22.1 critique 2 due: MON 3/10
Thurs 3/13 IN-CLASS PRELIM  

midterm material

Tues 3/18 IN-CLASS GRADING    
Thurs 3/20 Information extraction introduction J&M 22.2, 22.4 project 2 due, WEDS 3/19
Tues 3/25 IE pattern learning J&M 6.7-6.8  
Thurs 3/27 Opinion extraction   critique 3 due: WEDS 3/26
Tues 4/1 SPRING BREAK    
Thurs 4/3 SPRING BREAK    
Tues 4/8 Grammars and parsing J&M 12-12.3, 13-13.1  
Thurs 4/10 Bottom-up chart parser (example) 13.2-13.4.1  
Tues 4/15

Earley algorithm and example;
Probabilistic CFGs

13.4.2-13.5 project 3 proposal due in class
Thurs 4/17 Probabilistic parsing 14-14.5  
Tues 4/22 Discourse analysis
Guest lecturer: Jon Park
21-21.2  
Thurs 4/24 NP coreference resolution (part1, part2) 21.3-21.4  
Tues 4/29 ML for coreference resolution 21.7  
Thurs 5/1

Pragmatics and the Problem of Inference

final exam, etc.

 

project 3 due, WEDS 4/30

critique 4 due:MON 5/5