PeopleofSuperintelligence

Researcher

Ani Nenkova

Ani Nenkova is a computational linguist whose research covers automatic summarization, discourse, and text quality. She earned a computer science PhD at Columbia in 2006, completed postdoctoral training at Stanford, and joined Penn in 2007. With Rebecca Passonneau, she published the Pyramid Method paper on summary evaluation; with Annie Louis, she coauthored a syntactic model of text coherence. Her research won best paper awards at SIGDIAL, EMNLP-CoNLL, the AMIA Informatics Summit, and INLG, and she served as co-editor-in-chief of Transactions of the ACL and president of SIGDAT. As of October 2026, she is a principal research scientist at Adobe Research, working in AI and language technology.

Now at
Adobe
Works
264
Citations
10,355
h-index
48
Badges

Publication numbers from OpenAlex, as of 18 October 2026.

Timeline

  1. 2004

    The Pyramid Method

    With Rebecca Passonneau, she publishes the paper Evaluating Content Selection in Summarization: The Pyramid Method in 2004.

  2. 2006–2007

    From Columbia to Penn

    She earns a computer science PhD from Columbia in 2006, spends a year and a half as a Stanford postdoctoral fellow, and joins Penn in fall 2007. Her research covers automatic summarization, discourse, and text quality.

  3. 2011

    A SIGDIAL best paper award

    Her research receives a best paper award at SIGDIAL in 2011.

  4. 2012

    A model of text coherence

    With Annie Louis, she publishes A Coherence Model Based on Syntactic Patterns in 2012. Her research receives a best paper award at EMNLP-CoNLL in 2012.

  5. 2019–2022

    Editing Transactions of the ACL

    She becomes co-editor-in-chief of Transactions of the ACL in 2019 for a three-year term. In 2020, she serves as SIGDAT president.

  6. 2021–2023

    AMIA and INLG paper awards

    Her work receives best paper awards at the AMIA Informatics Summit in 2021 and INLG in 2023.

  7. As of October 2026

    A principal scientist at Adobe

    As of October 2026, she is a principal research scientist at Adobe Research, working in artificial intelligence and language technology.

Career

  1. Since 2021AdobePrincipal Research Scientist
  2. 2007–2023University of Pennsylvania
  3. 2006–2007Stanford UniversityPostdoctoral Fellow

Education

  1. 2006Columbia UniversityPhD

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

Most-cited works

  1. CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset2014 · IEEE Transactions on Affective Computing · 922 citations
  2. A Survey of Text Summarization Techniques2012 · Springer eBooks · 601 citationsWith Kathleen R. McKeown
  3. Evaluating Content Selection in Summarization: The Pyramid Method2004 · 527 citations
  4. Automatic Summarization2011 · now publishers, Inc. eBooks · 438 citations
  5. Revisiting readability2008 · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 374 citationsWith Emily Pitler

From OpenAlex, as of 18 October 2026.

  1. Stanford University trained or employed 27 of the 111 AI major-prize winners, more than any other universityIncludes Stanford University. Stanford University trained or employed 27 of the 111 AI major-prize winners, more than any other university. We compare doctorate and employment links for major-prize and best-paper winners.
  2. The company share of AI researchers’ top papers rose from 3% to 32%Includes Adobe. We estimate where leading AI researchers worked when their most-cited papers appeared. The company share rose from 3% in 1975–1979 to 32% in 2020–2024.
  3. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes University of Pennsylvania. Our estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.
  4. 44% of AI career moves go from one university to anotherIncludes University of Pennsylvania. We estimate how 12,774 AI career moves link universities, companies, labs and government research centers, with net flows and the most common paths.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Ani Nenkova yet. Send us a free-licensed photo.

  1. Evaluating Content Selection in Summarization: The Pyramid Method - ACL Anthology aclanthology.org. Checked 18 October 2026.
  2. AIIS | Artificial Intelligence & Information Systems cogcomp.seas.upenn.edu. Checked 18 October 2026.
  3. Adobe Research » Ani Nenkova research.adobe.com. Checked 18 October 2026.
  4. A Coherence Model Based on Syntactic Patterns - ACL Anthology aclanthology.org. Checked 18 October 2026.
  5. New Editor-in-Chief of the TACL journal and changes in the TACL Steering Committee | ACL Member Portal aclweb.org. Checked 18 October 2026.