CS 6740

CS 6740

Course information provided by the Courses of Study 2023-2024.

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. 

  • 3 Credits GradeNoAud

  • 19106 CS 6740   LEC 001

  • Instruction Mode: In Person
    Restricted to Ithaca campus graduate students only. Undergraduate and MEng students must add themselves to the waitlist during add/drop. This course is not available to Cornell Tech students.