605 605 Natural Language Processing

This course provides an introduction to the state of the art in NLP, from the fundamental concepts of language modeling to deep learning for NLP. Topics include word vectors, n-gram tagging, RNN language models, name entity recognition, transformers, natural language generation, and ethical issues in NLP, such as bias amplification and exclusion.