Course: COMPSCI 690D, Spring 2019
Instructors: Mohit Iyyer and Brendan O'Connor
Location: See SPIRE (currently Hasbrouck Lab Addition room 124)
Time: TuTh 11:30AM - 12:45PM
Course Description: This course offers an introduction to the models and principles behind state-of-the art deep learning techniques applied to natural language processing problems. It is intended for graduate students in computer science and linguistics who are (1) interested in learning about cutting-edge research progress in NLP and (2) familiar with machine learning fundamentals. We will cover a variety of models, including vector-based word representations, basic neural network architectures (e.g., convolutional, recurrent), and more advanced variants of these networks that are especially useful for NLP (e.g., attention-based or memory-augmented). We will also see these models in action on a variety of NLP tasks, including text classification, question answering, and text generation.
Enrollment questions: The course is already full, so we are not sure if we will be able to accomodate everyone who wishes to enroll. If you'd like to take this course but cannot register, please let us know your interest.