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COMS W4705 Natural Language Processing. 3 points.
Lect: 3.
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.
Spring 2022: COMS W4705
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Course Number | Section/Call Number | Times/Location | Instructor | Points | Enrollment |
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COMS 4705 | 001/12441 | M W 4:10pm - 5:25pm 207 Mathematics Building |
Zhou Yu | 3 | 105/130 |
COMS 4705 | 002/17846 | W 7:00pm - 9:30pm 501 Schermerhorn Hall |
Yassine Benajiba | 3 | 164/175 |
Fall 2022: COMS W4705
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Course Number | Section/Call Number | Times/Location | Instructor | Points | Enrollment |
COMS 4705 | 001/11024 | M W 2:40pm - 3:55pm Room TBA |
Daniel Bauer | 3 | 0/189 |