Natural Language Processing. 3 credits, 3 contact hours

Catalog description

Prerequisites: DS 675 or DS 677 and instructor's approval. This course aims to teach how to process one of the fundamental data sources—natural language—with the help of deep learning techniques. The target of this course is to familiarize students with state-of-the-art language models, wide variety of tasks performed with these models and the fusion of these in deep learning architectures. This course will help students read advanced research papers on complex NLP concepts and theories, while the class project will help them apply NLP techniques to different domains.