World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
75
Citations
40472
World Ranking
1373
National Ranking
715

Research.com Recognitions

  • 2013 - ACM Fellow For contributions to information retrieval and computational linguistics.
  • 2000 - Hellman Fellow

Overview

Marti A. Hearst is affiliated with the University of California, Berkeley in the United States. Their research primarily spans the field of Computer Science, with notable contributions in Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Human-Computer Interaction, and Literature and Literary Theory.

Their work covers a range of topics, including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Data Visualization and Analytics
  • Advanced Text Analysis Techniques
  • Text Readability and Simplification
  • Biomedical Text Mining and Ontologies
  • Speech and Dialogue Systems

Marti A. Hearst's recent publications include:

  • "<scp>SummaC</scp>: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization" (2022), published in Transactions of the Association for Computational Linguistics
  • "Inclusive data visualization for people with disabilities" (2021), published in interactions
  • "Striking a Balance: Reader Takeaways and Preferences when Integrating Text and Charts" (2022), published in IEEE Transactions on Visualization and Computer Graphics
  • "Lux" (2021), published in Proceedings of the VLDB Endowment
  • "<scp>Paper Plain</scp>: Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing" (2023), published in ACM Transactions on Computer-Human Interaction

Frequent coauthors in their publications include:

  • Andrew Head
  • Kyle Lo
  • Daniel S. Weld
  • Philippe Laban
  • Chase Stokes

Their works have appeared predominantly in these venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Visualization and Computer Graphics
  • Communications of the ACM
  • Transactions of the Association for Computational Linguistics
  • interactions

Marti A. Hearst has received recognition including:

  • ACM Fellow (2013) for contributions to information retrieval and computational linguistics
  • Hellman Fellow (2000)

Best Publications

  • Support vector machines

    M.A. Hearst;S.T. Dumais;E. Osman;J. Platt

  • Automatic acquisition of hyponyms from large text corpora

    Marti A. Hearst

  • Why phishing works

    Rachna Dhamija;J. D. Tygar;Marti Hearst

  • TextTiling: segmenting text into multi-paragraph subtopic passages

    Marti A. Hearst

  • Untangling Text Data Mining

    Marti A. Hearst

  • Faceted metadata for image search and browsing

    Ka-Ping Yee;Kirsten Swearingen;Kevin Li;Marti Hearst

  • The state of the art in automating usability evaluation of user interfaces

    Melody Y. Ivory;Marti A Hearst

  • Reexamining the cluster hypothesis: scatter/gather on retrieval results

    Marti A. Hearst;Jan O. Pedersen

  • Search User Interfaces

    Marti A. Hearst

  • TileBars: visualization of term distribution information in full text information access

    Marti A. Hearst

  • MULTI-PARAGRAPH SEGMENTATION EXPOSITORY TEXT

    Marti A. Hearst

  • A simple algorithm for identifying abbreviation definitions in biomedical text.

    Ariel S. Schwartz;Marti A. Hearst

  • Multi-Paragraph Segmentation of Expository Text

    Marti A. Hearst

  • Automated Discovery of WordNet Relations

    Marti A. Hearst

  • A critique and improvement of an evaluation metric for text segmentation

    Lev Pevzner;Marti A. Hearst

  • Clustering versus faceted categories for information exploration

    Marti A. Hearst

  • Subtopic structuring for full-length document access

    Marti A. Hearst;Christian Plaunt

  • Finding the flow in web site search

    Marti Hearst;Ame Elliott;Jennifer English;Rashmi Sinha

  • Animated exploration of dynamic graphs with radial layout

    Ka-Ping Yee;D. Fisher;R. Dhamija;M. Hearst

  • Intelligent Connections: Battling with GA-Joe.

    Marti A. Hearst

Frequent Co-Authors

Preslav Nakov
Preslav Nakov Mohamed bin Zayed University of Artificial Intelligence
Jan O. Pedersen
Jan O. Pedersen Microsoft (United States)
Armando Fox
Armando Fox University of California, Berkeley
Björn Hartmann
Björn Hartmann University of California, Berkeley
Gregory Grefenstette
Gregory Grefenstette Florida Institute for Human and Machine Cognition
Jaap Kamps
Jaap Kamps University of Amsterdam
Hinrich Schütze
Hinrich Schütze Ludwig-Maximilians-Universität München
Eric Saund
Eric Saund IEEE-USA
Susan T. Dumais
Susan T. Dumais Microsoft (United States)
Michelene T. H. Chi
Michelene T. H. Chi Arizona State University

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