CS 388: Natural Language Processing

Instructor

Time and Place

Teaching Assistant

Office Hours

• Instructor: Mon & Wed, 11am-noon, GDC 3.512
• TA: Tues & Thurs 2:30-3:30 p.m. GDC TA Station Desk 4

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)
• Basic Neural Networks
• LSTM Recurrent Neural Networks
• Syntactic Parsing
• Statistical Parsing
• Neural Parsing
• Word Sense Disambiguation
• Vector-Space Lexical Semantics
• Semantic Role Labeling
• Semantic Parsing
• Combining Logical and Distributional Semantics
• Information Extraction
• Machine Translation
• Story Understanding and Script Learning
• Question Answering
• Natural Language Descriptions of Videos using Recurrent Neural Networks
• Grounded Language Learning

Homework Assignments

See the instructions on handing in homeworks.

• Homework 1: Language Modeling (Due Feb 20)
• Homework 2: Sequence Labeling (Due Mar 10)
• Homework 3: Statistical Parsing (Due Apr 5)
• Homework 4: Project-Related Paper Report (Due Apr 19)

Midterm Exam

There will be an in-class midterm exam on Wed March 8, 2017.

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

Final Project

• Project report outline
• Sample publication 1 and Sample publication 2 that resulted from previous class projects.
• Turn in project report (in PDF) and code as "cs388-project". See project submission instructions.