CS 6741

Last Updated

  • Schedule of Classes - July 3, 2025 11:18AM EDT

CS 6741
Topics in Natural Language Processing and Machine Learning

Course information provided by the 2025-2026 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 REF-FA25 CS 2110 or equivalent programming experience, CS 3780/CS 5780 or CS 6780 or equivalent.

Enrollment Information REF-F25 Enrollment limited to: Ph.D. students.

Last 4 Terms Offered 2024FA, 2024SP, 2023FA, 2023SP

View Enrollment Information

Syllabi: none

  •   Regular Academic Session. 

  • 3 Credits Opt NoAud

  •  9333 CS 6741   LEC 001

  •  
    • MW
    • Aug 25 - Dec 8, 2025

    • Artzi, Y

  • Instruction Mode: Distance Learning-Synchronous

    Enrollment limited to: Ithaca Doctor of Philosophy (PhD) students.

Syllabi: none

  •   Regular Academic Session. 

  • 3 Credits Opt NoAud

  • 20002 CS 6741   LEC 030

  •  
    • MW
    • Aug 25 - Dec 8, 2025

    • Artzi, Y

  • Instruction Mode: In Person

    Taught in NYC. Enrollment Limited to Cornell Tech PhD students only.