CS 388: Natural Language Processing

Instructor

Time and Place

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
• Semantic Role Labeling
• Semantic Parsing
• Information Extraction
• Machine Translation
• Story Understanding
• Vector-Space Lexical Semantics

Homework Assignments

See the instructions on handing in homeworks.

• Homework 1: Part-of-Speech Tagging with HMMs and CRFs (Due Oct. 14)
• Homework 2: Active Learning for Statistical Parsing (Due Nov. 11)
• Homework 3: Project-Related Paper Report (Due Nov. 25)

Midterm Exam

There will be an in-class midterm exam on Mon. Oct. 19, 2009

• Equation/Algorithm Sheets for Midterm (4-up PDF)

Final Project

• Project report outline
• Turn in project code as "cs388-project". See instructions.