Week  Dates  Topics  Materials  Assignments 
1    Course introduction
 Probability
  Course introduction slides
 JM 1


2     
3    Text classification (Sentiment analysis)
 Guest lecture on word meaning by Katrin Erk. (2/2)
  Document classification slides (for background on sentiment analysis  they are primarily for my other class and include lots of more basic content)


4     
5    

6    Partofspeech tagging
 Hidden Markov Models
 

7     
8    Hidden Markov models
 Midterm exam review (3/9)
 Midterm exam (3/11)
  
*  Spring Break
   
9    Discriminative models
 Maximum entropy Markov models
 

10
   Maximum entropy markov models
 Information extraction
  
11    Information extraction
 Grammar
  JM: 22: 725743
 Categorial Grammar (draft article by Jason Baldridge for the Handbook of Syntax)
 Additional background reading: Combinatory Categorial Grammar (draft article by Mark Steedman and Jason Baldridge)
 JM 12. (Note: this chapter discusses contextfree grammarswe'll be
covering many of the same topics using categorial grammar.)


12    Grammar
 Meaning representations
 

13    Computational semantics
 Parsing
 Statistical parsing
  JM 18: 583591
 JM 13. 427443 (Again, we'll be discussing this with respect to categorial grammar.)
 JM 14: 459467
 
14    Statistical parsing
 Topic models
 

15    Geolocation
 Final exam review (5/6)
  
Exams   Final Exam: Thursday, May 12. CBA 4.328   