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Fall 2022 Computer Science W4705 section 001
NATURAL LANGUAGE PROCESSING
NATURAL LANGUAGE PROCESSI

Call Number 11024
Day & Time
Location
MW 2:40pm-3:55pm
501 Schermerhorn Hall [SCH]
Points 3
Grading Mode Standard
Approvals Required None
Instructor Daniel Bauer
Type LECTURE
Method of Instruction In-Person
Course Description 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.
Web Site Vergil
Department Computer Science
Enrollment 189 students (189 max) as of 8:06AM Wednesday, December 7, 2022
Status Full
Subject Computer Science
Number W4705
Section 001
Division Interfaculty
Campus Morningside
Section key 20223COMS4705W001

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SIS update 12/07/22 08:06    web update 12/07/22 08:31