| Call Number | 12090 |
|---|---|
| Day & Time Location |
F 10:10am-12:40pm 301 Pupin Laboratories |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Daniel Bauer |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | 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 | 205 students (272 max) as of 9:05PM Friday, November 22, 2024 |
| Subject | Computer Science |
| Number | W4705 |
| Section | 002 |
| Division | Interfaculty |
| Section key | 20241COMS4705W002 |