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Spring 2019 Computer Science W4705 section 001
NATURAL LANGUAGE PROCESSING
|Day & Time
1024 Seeley W. Mudd Building
|Course Description||Prerequisites: (COMS W3134 or COMS W3136 or COMS W3137) or the instructor's 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||0 students (78 max) as of 12:29AM Saturday, December 15, 2018|
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