CS 6740
Last Updated
- Schedule of Classes - July 3, 2024 8:11PM EDT
- Course Catalog - July 3, 2024 7:43PM EDT
Classes
CS 6740
Course Description
Course information provided by the Courses of Study 2024-2025.
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).
Regular Academic Session.
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Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
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Class Number & Section Details
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Meeting Pattern
- MW Hollister Hall 366
- Aug 26 - Dec 9, 2024
Instructors
Goyal, T
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Additional Information
Instruction Mode: In Person
For Bowers CIS Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
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