CS 388: Natural Language Processing

Instructor

Time and Place

Office Hours

• Instructor: Tuesday & Thursday, 2-3PM
• TA: Monday & Wednesday, 11am-12pm, GDC 1.302

Course Information

• Basic course information
• Course syllabus

Textbook

Lecture Slides

• Introduction to NLP
• N-Gram Language Models
• Part-of-Speech Tagging, Sequence Labeling, and Hidden Markov Models (HMMs)
• Sequence Labeling with Conditional Random Fields (CRFs)
• Syntactic Parsing
• Statistical Parsing
• Word Sense Disambiguation
• Vector-Space Lexical Semantics
• Semantic Role Labeling
• Semantic Parsing
• Information Extraction
• Machine Translation
• Story Understanding
• Text Categorization
• Text Clustering

Homework Assignments

See the instructions on handing in homeworks.

• Homework 1: Language Modeling (Due Feb. 18)
• Homework 2: Sequence Labeling (Due Mar. 4)
• Homework 3: Statistical Parsing (Due Apr. 1)
• Homework 4: Project-Related Paper Report (Due Apr. 17)

Midterm Exam

There will be an in-class midterm exam on Wed. March 6, 2013.

• Equation/Algorithm Sheets for Midterm
• Last year's midterm
• Last year's midterm solution notes

Final Project

• Project report outline
• Sample publication that resulted from a previous class project.
• Turn in project report (in PDF) and code as "cs388-project". See project submission instructions.