CS 6741

CS 6741

Course information provided by the 2024-2025 Catalog. Courses of Study 2024-2025 is scheduled to publish mid-June.

Robust language understanding has the potential to transform how we interact with computers, extract information from text and study language on large scale. This research-oriented course examines machine learning and inference methods for recovering language structure and meaning. Possible topics include structured prediction and deep learning, methods for situated language understanding, language grounding, and learning to generate text.


Prerequisites/Corequisites Prerequisite: CS 2110 or equivalent programming experience, CS 3780/CS 5780 or CS 6780 or equivalent.

Permission Note Enrollment limited to: Ph.D. students.

Last 4 Terms Offered (None)

When Offered Fall, Spring.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Opt NoAud

  •  7533 CS 6741   LEC 001

  • Instruction Mode: Distance Learning-Synchronous

    Enrollment limited to: Computer Science Doctor of Philosophy (PhD) and Master of Science (MS) students.

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Opt NoAud

  •  7322 CS 6741   LEC 031

  • Instruction Mode: In Person

    Enrollment limited to: Computer Science Doctor of Philosophy (PhD) students.