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
• 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. 15)
• Homework 2: Sequence Labeling (Due Feb 29)
• Homework 3: Statistical Parsing (Due ??)
• Homework 4: Project-Related Paper Report (Due ??)

Midterm Exam

There will be an in-class midterm exam on Wed. March 7, 2012.

• Equation/Algorithm Sheets for Midterm (4-up PDF)
• Last year's midterm
• Last year's midterm solution notes

Final Project

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