CS 6741

CS 6741

Course information provided by the 2020-2021 Catalog.

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 4780/CS 5780 or CS 6780 or equivalent.

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

When Offered Fall, Spring.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Opt NoAud

  • 17896 CS 6741   LEC 001

  • Instruction Mode: Online

    Class will be streamed from NYCTech. Enrollment limited to CIS PhD and CS MS students only.

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Opt NoAud

  • 17656 CS 6741   LEC 030

  • Instruction Mode: Online

    Taught in NYC at Cornell Tech. Enrollment Limited to Cornell Tech PhD Students.