PeopleofSuperintelligence

Researcher

Daniel Gildea

Daniel Gildea is a professor of computer science whose research spans semantic parsing, language understanding, and machine translation. He earned a BA and PhD at UC Berkeley, worked in software and at the International Computer Science Institute, and joined Rochester's faculty in 2003. His work included the 2000 automatic semantic-role labeling paper with Daniel Jurafsky, the 2005 Proposition Bank article, a 2010 book on semantic role labeling, and 2022 papers on AMR parsing and generation. The ACL gave his 2000 paper a Test-of-Time Paper Award in 2025.

Works
190
Citations
9,308
h-index
37
Badges

Publication numbers from OpenAlex, as of 19 October 2026.

Timeline

  1. 1995–2001

    Degrees and early work

    He earns a BA in linguistics and computer science at UC Berkeley in 1995, an MS in computer science there in 1999, and a PhD in computer science there in 2001. From 1995 to 1996, he works as a software engineer in Hewlett-Packard's PA-RISC compiler group; from 1996 to 2001, he is a research assistant at the International Computer Science Institute in Berkeley.

  2. 2000

    Automatic semantic-role labeling

    With Daniel Jurafsky, he publishes Automatic Labeling of Semantic Roles in the ACL's 2000 proceedings.

  3. 2001–2003

    Postdoctoral work at Penn

    He works as a postdoctoral fellow in Penn's Institute for Research in Cognitive Science and Department of Computer and Information Science from 2001 to 2003.

  4. 2003–2016

    Rochester faculty promotions

    At Rochester, he joins the Department of Computer Science as an assistant professor in 2003, becomes an associate professor in 2009, and becomes a professor in 2016.

  5. 2005–2010

    PropBank and a machine-translation award

    In 2005, he coauthors The Proposition Bank: An Annotated Corpus of Semantic Roles with Martha Palmer and Paul Kingsbury. His NSF CAREER award funds Semantics for Statistical Machine Translation from 2005 to 2010.

  6. 2010

    A semantic-role labeling textbook

    With Martha Palmer and Nianwen Xue, he publishes the 2010 textbook Semantic Role Labeling in the Synthesis Lectures on Human Language Technologies series.

  7. 2025

    The 2025 Test-of-Time award

    The ACL selects his and Daniel Jurafsky's 2000 paper, Automatic Labeling of Semantic Roles, for its 2025 Test-of-Time Paper Award.

  8. Since 2016

    Professor at Rochester

    He is a professor of computer science at the University of Rochester and a member of its Center for Language Sciences and Institute for Data Science. His research covers statistical natural language processing, language understanding, machine translation, and semantic parsing. In 2022, he coauthors papers on AMR parsing and AMR-to-text generation, and in Fall 2026 he teaches Artificial Intelligence.

Career

  1. Since 2003University of RochesterAssistant Professor, Associate Professor
  2. 2001–2003University of PennsylvaniaPostdoctoral Fellow
  3. 1996–2001International Computer Science InstituteResearch Assistant
  4. 1995–1996Hewlett-PackardSoftware Engineer

Education

  1. 2001University of California, BerkeleyPhD
  2. 1999University of California, BerkeleyMS
  3. 1995University of California, BerkeleyBA

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Most-cited works

  1. The Proposition Bank: An Annotated Corpus of Semantic Roles2005 · Computational Linguistics · 2,276 citationsWith Martha Palmer
  2. Automatic Labeling of Semantic Roles2002 · Computational Linguistics · 1,641 citationsWith Dan Jurafsky
  3. Effects of disfluencies, predictability, and utterance position on word form variation in English conversation2003 · The Journal of the Acoustical Society of America · 460 citationsWith Dan Jurafsky
  4. Corpus Variation and Parser Performance2001 · 268 citations
  5. A Smorgasbord of Features for Statistical Machine Translation2004 · 261 citationsWith Dragomir Radev, Franz Josef Och and Sanjeev Khudanpur

From OpenAlex, as of 19 October 2026.

  1. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes University of Rochester. Our estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.
  2. The company share of AI researchers’ top papers rose from 2% to 32%Includes University of Rochester. We estimate where leading AI researchers worked when their most-cited papers appeared. The company share rose from 2% in 1975–1979 to 32% in 2020–2024.
  3. Stanford University trained or employed 20 of the 89 AI major-prize winners, more than any other universityIncludes University of Rochester. Stanford University trained or employed 20 of the 89 AI major-prize winners, more than any other university. We compare doctorate and employment links for major-prize and best-paper winners.
  4. Google has the highest combined h-index among AI organizationsIncludes University of California, Berkeley. Our estimates of combined and median h-index at AI organizations, using current affiliations and OpenAlex records.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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  1. Daniel Gildea: CV cs.rochester.edu. Checked 19 October 2026.
  2. Automatic Labeling of Semantic Roles - ACL Anthology aclanthology.org. Checked 19 October 2026.
  3. The Proposition Bank: An Annotated Corpus of Semantic Roles - ACL Anthology aclanthology.org. Checked 19 October 2026.
  4. Ling7800: Advanced Computational Linguistics verbs.colorado.edu. Checked 19 October 2026.
  5. Announcement of the 2025 ACL Test-of-Time Paper Award aclweb.org. Checked 19 October 2026.
  6. Daniel Gildea : Faculty : Department of Computer Science : University of Rochester cs.rochester.edu. Checked 19 October 2026.
  7. Daniel Gildea cs.rochester.edu. Checked 19 October 2026.