School of Information/Electrical Engineering and Computer Science 767 – Advanced Natural Language Processing and Information Retrieval

Instructor: Radev

W 9-12

3 credits

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."