CS 6741

CS 6741

Course information provided by the Courses of Study 2021-2022.

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.

When Offered Fall, Spring.

Permission Note Enrollment limited to: Ph.D. students.
Prerequisites/Corequisites Prerequisite: CS 2110 or equivalent programming experience, CS 4780/CS 5780 or CS 6780 or equivalent.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Opt NoAud

  • 19348 CS 6741   LEC 001

  • Instruction Mode: Distance Learning-Synchronous
    This course is offered via Distance Learning streaming from Cornell Tech to Ithaca. Enrollment is restricted to CIS PhD and CS MS students.

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Opt NoAud

  • 10648 CS 6741   LEC 031

  • Instruction Mode: Online
    Class offered via distance learning streaming from NYC. Offered to Ithaca CIS PhD, Ithaca CS MS students, and Cornell Tech PhD Students Only. Master's Cornell Tech Students may seek instructor permission with faculty.