Computer Science 791AN - S-AdvNaturalLanguageProcessing

This course is an introduction to the main tools and techniques used in modern natural language processing research and systems. It will cover the main components of a modern NLP pipeline, such as tagging, entity recognition, parsing, and coreference; the techniques necessary to implement state-of-the-art systems for these tasks, such as classifiers and conditional random fields; and modern tasks and tools to attack them, such as deep learning, embeddings, semi-supervised learning, and dual decomposition for joint inference. There will be weekly lectures, and paper readings, and the grades will be determined based on written summaries of recent research papers and a substantial research project in NLP to be concluded by the end of the course.

Open to PhD-CMPSCI students only. STUDENTS NEEDING INSTRUCTOR PERMISSION MUST REQUEST OVERRIDES VIA THE ON-LINE FORM: https://www.cs.umass.edu/ugrad-education/courses.