CS 6740 - Advanced Language Technologies

Fall. 3 credits. Student option grading (no audit).

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). Enrollment limited to: Ph.D. and MS students; undergraduate students allowed with permission of instructor.

T. Goyal.

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.