|Day & Time
501 Schermerhorn Hall [SCH]
|Method of Instruction||In-Person|
Prerequisites: (COMS W3134 or COMS W3136 or COMS W3137) or the instructors permission. Computational approaches to natural language generation and understanding. Recommended preparation: some previous or concurrent exposure to AI or Machine Learning. Topics include information extraction, summarization, machine translation, dialogue systems, and emotional speech. Particular attention is given to robust techniques that can handle understanding and generation for the large amounts of text on the Web or in other large corpora. Programming exercises in several of these areas.
|Enrollment||88 students (100 max) as of 11:06AM Sunday, December 10, 2023|