Noah Smith is an associate professor of computer science and engineering at the University of Washington. Previously, he was on the faculty of Carnegie Mellon University’s School of Computer Science. As a Hertz Fellow, he received his PhD in computer science from Johns Hopkins University in 2006. As an undergrad, Noah received a BS in computer science and a BA in linguistics from the University of Maryland in 2001.
His research interests include statistical natural language processing, especially unsupervised methods, machine learning for structured data, and applications of natural language processing. His book, Linguistic Structure Prediction, covers many of these topics. Noah has served on the editorial board of the journals Computational Linguistics (2009-11), Journal of Artificial Intelligence Research (2011-present), and Transactions of the Association for Computational Linguistics (2012-present). In addition, he serves as the secretary-treasurer of SIGDAT (2012-present).
Noah’s work has been recognized with a Finmeccanica career development chair at CMU (2011-2014), an NSF CAREER award (2011-16), a Hertz Foundation graduate fellowship (2001-06), numerous best paper nominations and awards, and coverage by NPR, BBC, CBC, New York Times, Washington Post, and Time.
