Natural Language ProcessingNLP 244 Advanced Machine Learning for Natural Language Processing

Introduces 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 NLP 243, graduate level machine learning.

Requirements

Prerequisite(s): NLP 243. Enrollment is restricted to natural language processing graduate students and computer science and engineering doctoral students, or by permission of instructor.

Credits

5

Quarter offered

Winter