CS 6741

Last Updated

  • Schedule of Classes - November 19, 2024 7:51PM EST
  • Course Catalog - November 19, 2024 7:07PM EST

CS 6741
Topics in Natural Language Processing and Machine Learning

Course information provided by the Courses of Study 2024-2025.

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 3780/CS 5780 or CS 6780 or equivalent.

View Enrollment Information

Syllabi:

  •   Regular Academic Session. 

  • 3 Credits Opt NoAud

  • 19915 CS 6741   LEC 001

  •  

  • Instruction Mode: Distance Learning-Synchronous
    Enrollment limited to: Ithaca Doctor of Philosophy (PhD) students.

Syllabi:

  •   Regular Academic Session. 

  • 3 Credits Opt NoAud

  • 19441 CS 6741   LEC 030

  •  

  • Instruction Mode: In Person
    Enrollment limited to: Cornell Tech Doctor of Philosophy (PhD) students. Enrollment is open to Cornell Tech Master's students with instructor permission.