NLP244: Advanced Machine Learning for Natural Language Processing

This course will introduce advanced machine learning models and algorithms for Natural Language Processing. Theoretical and intuitive understanding of NLP learning models will be discussed. Some hot topics such as robustness and explainability in ML for NLP will also be covered. The course assumes that students
have taken NLP243 graduate level machine learning for NLP course. Prerequisite(s): NLP 243. Enrollment restricted to NLP graduate students and CSE PhD graduate students, or by permission of instructor.

5 Credits

YearFallWinterSpringSummer
2020-21

While the information on this web site is usually the most up to date, in the event of a discrepancy please contact your adviser to confirm which information is correct.