- Schedule of Classes - June 10, 2022 7:44AM EDT
- Course Catalog - June 9, 2022 7:14PM EDT
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).
Regular Academic Session. Combined with: INFO 6300
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
- MW Upson Hall 216
- Jan 24 - May 10, 2022
Instruction Mode: In Person
Restricted to graduate students only. All others must add themselves to the waitlist during add/drop.
Disabled for this roster.