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LINGUIST 280: From Languages to Information (CS 124, LINGUIST 180)

Extracting meaning, information, and structure from human language text, speech, web pages, social networks. Introducing methods (regex, edit distance, naive Bayes, logistic regression, neural embeddings, inverted indices, collaborative filtering, PageRank), applications (chatbots, sentiment analysis, information retrieval, question answering, text classification, social networks, recommender systems), and ethical issues in both. Prerequisites: CS106B, Python (at the level of CS106A), CS109 (or equivalent background in probability), and programming maturity and knowledge of UNIX equivalent to CS107 (or taking CS107 or CS1U concurrently).
Terms: Win | Units: 3-4
Instructors: ; Jurafsky, D. (PI); Akintan, M. (TA); Buch, D. (TA); Gurusankar, G. (TA); Kacharia, N. (TA); Lee, H. (TA); Leon, A. (TA); McAvity, J. (TA); Mukherjee, A. (TA); Nabi, F. (TA); Oyeniyi, T. (TA); Phatak, U. (TA); Ryan, M. (TA); Santiago, F. (TA); Wu, J. (TA); Xiao, J. (TA)
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