Advanced Natural Language Processing

4 credits · Graduate

This course provides a graduate-level introduction to Natural Language Processing (NLP). We will survey foundational approaches such as word representations and n-gram language models, followed by neural methods including recurrent networks and attention mechanisms, and then progress to modern Transformer-based architectures. In addition, the course will cover advanced topics in contemporary NLP, including retrieval-augmented models, mixture-of-experts architectures, AI agents, and memorization.