Computer Science 690D - Deep Learning/Nat Lang Process

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.

Open to Graduate students only. SEATS HELD FOR INCOMING STUDENT REGISTRATION. STUDENTS NEEDING SPECIAL PERMISSION MUST REQUEST OVERRIDES VIA THE ON-LINE FORM: https://www.cics.umass.edu/overrides.