CS 6740

CS 6740

Course information provided by the 2019-2020 Catalog.

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 latent semantic analysis (LSI), click through data for web search, language modeling, text categorization and clustering, information extraction, computational syntactic and semantic formalisms, grammar induction, and machine translation.


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).

Permission Note Enrollment limited to: PhD and MS students. All others seeking permission to enroll, see http://www.cs.cornell.edu/courses/cs6740/2019fa/.

When Offered Fall.

View Enrollment Information

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

  • 3 Credits Stdnt Opt

  • 17350 CS 6740   LEC 001

  • Instruction Mode: In Person

    Enrollment limited to PhD and MS students. All others seeking permission to enroll, see http://www.cs.cornell.edu/courses/cs6740/2019fa/