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David Bamman | EECS at UC Berkeley

Biography

I'm an Associate professor in the School of Information at UC Berkeley, where I work on applying natural language processing and machine learning to empirical questions in the humanities and social sciences. My research often involves adding linguistic structure (e.g., syntax, semantics, coreference) to statistical models of text. As such, I'm especially interested in developing core NLP techniques for a variety of languages and domains (e.g., literary text, social media). Before Berkeley, I received my PhD at Carnegie Mellon (School of Computer Science, Language Technologies Institute) and was a senior researcher at the Perseus Project of Tufts University.

Education

  • 2015, Ph.D., Computer Science (Language Technologies Institute), Carnegie Mellon University
  • 2006, M.A., Applied Linguistics, Boston University
  • 1998, B.A., Classics, University of Wisconsin-Madison

Awards, Memberships and Fellowships