CS 388: Natural Language Processing

Instructor

Time and Place

Teaching Assistant

Office Hours

• Instructor: Mon & Wed, 11am-noon, GDC 3.512
• TA: Tues 1-2 pm; Thurs 2-3 pm, GDC 6.802A

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
• Visually Grounded Language
• Natural Language Descriptions of Videos using Recurrent Neural Networks
• Greg Durrett's slides on Coreference

Homework Assignments

See the instructions on handing in homeworks.

• Homework 1: Language Modeling (Due Feb 21)
• Homework 2: Sequence Labeling (Due Mar 19)
• Homework 3: Statistical Parsing (Due Apr 9)
• Homework 4: Project-Related Paper Report (Due Apr 18)

Midterm Exam

There will be an in-class midterm exam on Wed March 7, 2018.

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

Final Project

• Project report outline
• Sample publication 1 , publication 2, and publication 3 that resulted from previous class projects.
• Turn in project report (in PDF) and code as "cs388-project". See project submission instructions.