CS 6740

CS 6740

Course information provided by the Courses of Study 2019-2020.

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.

When Offered Fall.

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

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Enrollment Information
Syllabi: 1 available
  •   Regular Academic Session.  Combined with: INFO 6300

  • 3 Credits Stdnt Opt