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SI 767: Advanced Natural Language Processing and Information Retrieval

Course is focused on reading recent research papers on topics in natural-language processing and information retrieval, such as statistical machine translation, expectation maximization, text classification, sentiment and polarity analysis, information extraction using conditional random fields, document models for information retrieval, semi-supervised learning, and latent semantic analysis. The course is appropriate for students who have already taken either of the following classes: "Natural Language Processing," "Information Retrieval," and/or "Language and Information." Credits: 3

Term offered: Winter

Prerequisites:
SI 661, SI 761, or 760 or permission of instructor

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