CS 6741

Last Updated

  • Schedule of Classes - June 25, 2020 7:14PM EDT
  • Course Catalog - June 25, 2020 7:15PM EDT

CS 6741
Topics in Natural Language Processing and Machine Learning

Course information provided by the 2019-2020 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.  Combined with: CS 6741

  • 3 Credits Stdnt Opt

  • 18139 CS 6741   LEC 001

  •  

  • Instruction Mode: Distance Learning-Synchronous

    Class offered via distance learning streaming from NYC. Offered to CIS PhD and CS MS students only.

Syllabi: none

  •   Regular Academic Session.  Combined with: CS 6741

  • 3 Credits Stdnt Opt

  • 18140 CS 6741   LEC 030

  •  

  • Instruction Mode: Hybrid - Online & In Person

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