CS 6740

CS 6740

Course information provided by the Courses of Study 2021-2022.

Graduate-level introduction to technologies for the computational treatment of information in human-language form, covering modern natural-language processing (NLP) and/or information retrieval (IR). Possible topics include language modeling, word embeddings, text categorization and clustering, information extraction, computational syntactic and semantic formalisms, grammar induction, machine translation, latent semantic analysis (LSI), and clickthrough data for web search.

When Offered Spring.

Permission Note Enrollment limited to: Ph.D. and MS students. 
Prerequisites/Corequisites Prerequisite: CS 2110 or equivalent, a course in artificial intelligence or any relevant subfield (e.g., NLP, information retrieval, machine learning, Cornell CS courses numbered 47xx or 67xx). Proficiency with using machine learning tools (e.g., fluency at training an SVM, comfort with assessing a classifier's performance using cross-validation).

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: INFO 6300

  • 3 Credits Stdnt Opt

  • 10827 CS 6740   LEC 001

    • MW Upson Hall 216
    • Jan 24 - May 10, 2022
    • Cardie, C

  • Instruction Mode: In Person
    Restricted to graduate students only. All others must add themselves to the waitlist during add/drop.