CS 6840 - Natural Language Processing

Natural Language Processing (NLP) is a branch of Artificial Intelligence concerned with developing computer systems that can process, understand, or communicate in natural language. Major applications of NLP include information retrieval and web search, information extraction, question answering, machine translation, sentiment analysis, text mining, and speech recognition. This graduate level course will give a fairly broad overview of NLP, with a primary focus on tasks that are widely seen as fundamental for a natural language understanding system such as part of speech tagging, syntactic parsing, word sense disambiguation, semantic role labeling, coreference resolution, and semantic parsing.

Requisites

Credit Hours: 3.0
Repeat/Retake Information: May not be retaken.

Lecture/Lab Hours: 3.0 lecture

Eligible grades: A-F,WP,WF,FN,FS,AU,I