COMPSCI 690D: Deep Learning for Natural Language Processing

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.

  1. Send us information through either:
    • Submit an override request through the online system.
    • OR, if that doesn't work, email
  2. In any case, be sure to describe each of the following.
    • What type of student you are: what institution you are from (UMass or other), what department you are in (CS, Linguistics, etc.), what degree program (Bachelors, Masters, PhD, etc.), and what year in the program.
    • What is your background in (1) natural language processing, (2) machine learning, and (3) linguistics.
    • Why you are interested in the course.
    • Any special considerations, such as if you are graduating soon.