| Call Number | 10754 |
|---|---|
| Day & Time Location |
TR 4:10pm-7:20pm To be announced |
| 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 |
| Subterm | 07/07-08/15 (B) |
| Department | Computer Science |
| Enrollment | 31 students (120 max) as of 9:05PM Wednesday, April 2, 2025 |
| Subject | Computer Science |
| Number | W4705 |
| Section | 001 |
| Division | Interfaculty |
| Section key | 20252COMS4705W001 |