World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
10979
World Ranking
10986
National Ranking
4569

Research.com Recognitions

  • 2016 - Fellow of Alfred P. Sloan Foundation

Overview

David Mimno is affiliated with Cornell University in the United States and has an extensive body of work in computer science and social sciences. Their research prominently spans artificial intelligence, literature and literary theory, general social sciences, political science and international relations, and law.

The scientist's notable research topics include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Computational and Text Analysis Methods
  • Authorship Attribution and Profiling
  • Artificial Intelligence in Law
  • Shakespeare, Adaptation, and Literary Criticism
  • Text Readability and Simplification

Mimno has published extensively, with 44 contributions in computer science and 22 in social sciences. The subfields of artificial intelligence and literature represent key areas of their research focus. Their frequent publication venues include:

  • arXiv (Cornell University)
  • Journal of Cultural Analytics
  • Zenodo (CERN European Organization for Nuclear Research)
  • Poetics
  • Proceedings of the ACM on Human-Computer Interaction

Recent papers authored or co-authored by Mimno feature the following:

  • "Separating the wheat from the chaff: A topic and keyword-based procedure for identifying research-relevant text," 2020, Poetics
  • "Topic Modeling with Contextualized Word Representation Clusters," 2020, arXiv (Cornell University)
  • "Honest Students from Untrusted Teachers: Learning an Interpretable Question-Answering Pipeline from a Pretrained Language Model," 2022, arXiv (Cornell University)
  • "Tags, Borders, and Catalogs," 2021, Proceedings of the ACM on Human-Computer Interaction
  • "Contextualized Topic Coherence Metrics," 2023, arXiv (Cornell University)

The scientist collaborates frequently with several co-authors, including:

  • Maria Antoniak
  • Matthew Wilkens
  • Rosamond Thalken
  • Gregory Yauney
  • Melanie Walsh

David Mimno has been recognized in the research community with the title of Fellow of the Alfred P. Sloan Foundation in 2016.

Best Publications

  • Optimizing Semantic Coherence in Topic Models

    David Mimno;Hanna Wallach;Edmund Talley;Miriam Leenders

  • Evaluation methods for topic models

    Hanna M. Wallach;Iain Murray;Ruslan Salakhutdinov;David Mimno

  • Rethinking LDA: Why Priors Matter

    Hanna M. Wallach;David M. Mimno;Andrew McCallum

  • Evaluation methods for unsupervised word embeddings

    Tobias Schnabel;Igor Labutov;David Mimno;Thorsten Joachims

  • Efficient methods for topic model inference on streaming document collections

    Limin Yao;David Mimno;Andrew McCallum

  • A Practical Algorithm for Topic Modeling with Provable Guarantees

    Sanjeev Arora;Rong Ge;Yonatan Halpern;David Mimno

  • Polylingual Topic Models

    David Mimno;Hanna M. Wallach;Jason Naradowsky;David A. Smith

  • Topic models conditioned on arbitrary features with Dirichlet-multinomial regression

    David Mimno;Andrew McCallum

  • Expertise modeling for matching papers with reviewers

    David Mimno;Andrew McCallum

  • Mixtures of hierarchical topics with Pachinko allocation

    David Mimno;Wei Li;Andrew McCallum

  • Applications of Topic Models

    Jordan L. Boyd-Graber;Yuening Hu;David M. Mimno

  • Comparing grounded theory and topic modeling: Extreme divergence or unlikely convergence?

    Eric P. S. Baumer;David Mimno;Shion Guha;Emily Quan

  • Evaluating the Stability of Embedding-based Word Similarities

    Maria Antoniak;David Mimno

  • Significant themes in 19th-century literature

    Matthew L. Jockers;David Mimno

  • Pulling Out the Stops: Rethinking Stopword Removal for Topic Models

    Alexandra Schofield;Måns Magnusson;David M. Mimno

  • Comparing Apples to Apple: The Effects of Stemmers on Topic Models

    Alexandra Schofield;David M. Mimno

  • Sparse Stochastic Inference for Latent Dirichlet allocation

    David Mimno;Matt Hoffman;David Blei

  • Care and Feeding of Topic Models: Problems, Diagnostics, and Improvements

    Edoardo M. Airoldi;David M. Blei;Elena A. Erosheva;Stephen E. Fienberg

  • Bibliometric impact measures leveraging topic analysis

    David Mimno;Andrew McCallum;Gideon Mann

  • Computational historiography: Data mining in a century of classics journals

    David Mimno

  • Database of NIH grants using machine-learned categories and graphical clustering

    Edmund M Talley;David Newman;David Mimno;David Mimno;Bruce W Herr

Frequent Co-Authors

Andrew McCallum
Andrew McCallum University of Massachusetts Amherst
Hanna Wallach
Hanna Wallach Microsoft (United States)
Lillian Lee
Lillian Lee Cornell University
David M. Blei
David M. Blei Columbia University
Maria Liakata
Maria Liakata Queen Mary University of London
Jordan Boyd-Graber
Jordan Boyd-Graber University of Maryland, College Park
Sanjeev Arora
Sanjeev Arora Princeton University
Paul Dimaggio
Paul Dimaggio New York University

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