CS 6741

CS 6741

Course information provided by the Courses of Study 2020-2021. Courses of Study 2021-2022 is scheduled to publish by July 1.

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.

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Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Opt NoAud

  • 19071CS 6741  LEC 001

  • Instruction Mode: Distance Learning-Synchronous
    Class offered via distance learning streaming from NYC. Offered to CIS PhD students only.

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Opt NoAud

  • 18929CS 6741  LEC 030

  • Instruction Mode: In Person
    Taught in NYC. Enrollment limited to Cornell Tech PhD Students. Open to Cornell Tech Masters Students via instructor permission (please email instructor!).