| Call Number | 12560 |
|---|---|
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Daniel Bauer |
| Type | LECTURE |
| Method of Instruction | On-Line Only |
| 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 | 07/03-08/11 (B) |
| Department | Video Network |
| Enrollment | 32 students (99 max) as of 9:07PM Monday, April 29, 2024 |
| Subject | Computer Science |
| Number | W4705 |
| Section | V02 |
| Division | Interfaculty |
| Campus | Video Network |
| Fee | $395 CVN Course Fee |
| Note | VIDEO NETWORK STUDENTS ONLY |
| Section key | 20232COMS4705WV02 |