David Bamman

Assistant Professor
School of Information
University of California, Berkeley

Affiliated appointment, EECS

twitter: @dbamman
email: dbamman at berkeley.edu

Fall 2018 office hours: Wednesday, 10am-noon
314 South Hall

CV

I'm an assistant professor in the School of Information at UC Berkeley (with an affiliated appointment in EECS), 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.

Announcements

  • Berkeley undergrads looking for URAP research in the computational humanities for Fall 2018, apply here.
  • The NSF is funding our work "Building Subjective Knowledge Bases by Modeling Viewpoints" ($500,000, co-PI with UMass)
  • I've been awarded an Amazon Research Award to support work on the computational analysis of literary texts.
  • The NEH is funding our work on using visual information in the computational analysis of books ($325,000, co-PI with CMU)

    • Teaching

    Publications

    Datasets