378 Natural Language Processing

A study of the main applications of NLP techniques today, both in academia and in industry, as well as linguistics to put problems in context and understand their challenges. A range of models in structured prediction and deep learning including classifiers, sequence models, statistical parsers, neural network encoders, and encoder-decoder models. Prerequisite: Upper-division standing; additional prerequisites vary with the topic.