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Demo Assignment

Homework 0

Homework 2

Homework 3

Homework 4

Project Description

Submission Instructions

Class Forum

ITLABS Submission

Grit

  Supplementary Readings

Jurafsky and Martin book on Speech and Language Processing

Rabiner HMM Tutorial

Murphy Paskin HHMM

Robinson RNN Acoustical Model (used in slush)

Referential Semantic Language Model (used in slush)

 

CSCI5541 Home

 
 

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CSci 5541: Natural Language Processing
Fall 2007 Course Outline


Instructor:

William Schuler (schuler at cs DOT umn DOT edu)
Office: 5-225f EE/CSci Building, Ph: (612) 626-7502
Office Hours: TuTh 3:45pm-4:45pm (usually in EE/CS 2-208 - NLP Lab)

Teaching Assistant:

Tim Miller (tmill at cs DOT umn DOT edu) - Please include the string "5541" in the subject of your e-mail
Office Hours: W: 11am-12pm EE/CS 2-209

Textbooks:

"Artificial Intelligence: A Modern Approach", Russell and Norvig. 2nd Edition, Prentice Hall, 2003. ISBN 0-13-790395-2.

Web site:

http://www-users.itlabs.umn.edu/classes/Fall-2007/csci5541/

Course Time and Location:

Lecture : T,Th, 2:30 P.M. - 3:45 P.M. EE/CSci 3-125


Course Content

Wk Tuesday Thursday Friday Reading
1 9/4
Welcome, Speech
9/6
Spectral Analysis
9/7
HW0 due - Solution
RN 15.6
2 9/11
Uncertainty, Probability
9/13
Statistical Modeling in RVTL
  RN 13,14.1-3
3 9/18
Graphical Statistical Models
9/20
HMMs
9/21
HW1 due - Sample model file - HW1 Solution
RN 15
4 9/25
HMMs in RVTL, DBNs
9/27
Language Models, Joint RVs in RVTL
  RN 15
5 10/2
Model Fitting
10/4
EM
10/5
HW2 due - Solution
RN 20.1-3
6 10/9
Midterm 1 Review
10/11
Midterm Exam 1
   
7 10/16
Syntax
10/18
CFGs, Parsing
  RN 22.1-3
8 10/23
PCFGs, Complexity
10/25
Incremental Parsing
10/26
HW3 due - Solution
RN 23.1
9 10/30
Semantic Interpretation
11/1
Incremental Interpretation
  RN 22.5
10 11/6
SLUSH interface using RVTL
11/8
Cascaded regular expressions in RVTL, Referential semantics in RVTL
11/9
HW4 due - Solution
TBA
11 11/13
Speech Repairs, Disfluency
11/15
Machine Translation (TBD)
11/16
Project Lit Review Due
TBA
12 11/20
Semantic Representation, Quantification
11/22 - 11/25
— Thanksgiving Break — no class
 
13 11/27
Midterm 2 Review
11/29
Midterm Exam 2
  TBA
14 12/4
Sensor grounding / Discourse and Interaction
12/6
Project Presentations
12/7
Project Writeup due
 
15 12/11
Project Presentations
12/13
No Class - Study Day
   

Course Evaluation:

There will be five (5) homework assignments. Homework solutions will be posted shortly after the due date, so due dates for the homeworks are strict: All homeworks must be received prior to their deadline in order to receive credit. There will be no partial credit for late homeworks.

There will be two midterm exams held during lecture on Thursday, Oct 11 and Thursday Nov 29. They will be closed book and closed notes.

There will be one final project due Friday, Dec 7.


Grading:

Homeworks 30%
Midterms 40%
Project 30%

Incompletes (or make up exams) will in general not be given. These options will be considered only when a provably serious family or personal emergency arises, proof is presented, and the student has already completed all but a small portion of the work.


Scholastic Conduct

You must do your homeworks, programming assignments, and examinations yourself, ON YOUR OWN.

Copying another's work, or allowing (even negligently) others to copy your work, or possession of electronic computing devices in the testing area, is cheating and grounds for penalties according to the IT Bulletin.

 
The University of Minnesota is an equal opportunity educator and employer.
Natural Language Processing