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NOTE: Course information changes frequently, including Methods of Instruction. Please revisit these pages periodically for the most recent and up-to-date course information. | |
Spring 2023 Computer Science W4705 section 001 NATURAL LANGUAGE PROCESSING NATURAL LANGUAGE PROCESSI | |
| Call Number | 12839 |
| Day & Time Location |
MW 1:10pm-2:25pm 417 International Affairs Building |
| 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 | 249 students (250 max) as of 7:07PM Tuesday, March 21, 2023 |
| Subject | Computer Science |
| Number | W4705 |
| Section | 001 |
| Division | Interfaculty |
| Campus | Morningside |
| Section key | 20231COMS4705W001 |
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