NLP244: Advanced Machine Learning for Natural Language Processing

Covers advanced deep machine learning models and algorithms for Natural Language Processing, such as transformers, pre-trained large language models, contextual embeddings, multi-modal embeddings, mullti-task learning, and reinforcement learning. Provides both theoretical and intuitive understanding of NLP learning models. 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.

5 credits

Year	Fall	Winter	Spring	Summer
2023-24		Section 50 Ian Lane (ialane)
2022-23		Section 50 Staff
2021-22			Section 50 Dilek Hakkani-Tur (dhakkani)
2020-21			Section 01 Dilek Hakkani-Tur (dhakkani)

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