CS 6741

CS 6741

Course information provided by the Courses of Study 2023-2024.

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

  • 20974 CS 6741   LEC 001

  • Instruction Mode: Distance Learning-Synchronous
    Streaming from Cornell Tech to Ithaca.

  •   Regular Academic Session. 

  • 3 Credits Opt NoAud

  • 18824 CS 6741   LEC 030

  • Instruction Mode: In Person
    Taught in NYC at Cornell Tech. Enrollment limited to Cornell Tech PhD students only. Cornell Tech Master's students may be considered for enrollment with instructor permission during Regular Enrollment.