World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
17497
World Ranking
7371
National Ranking
441

Overview

Karen Sparck Jones is affiliated with the University of Cambridge in the United Kingdom and specializes in the field of Computer Science. Their research primarily focuses on Artificial Intelligence, with additional contributions to Information Systems, Computer Vision and Pattern Recognition, and Literature and Literary Theory.

The scientist's work encompasses a variety of main topics, including:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Speech and dialogue systems
  • Information Retrieval and Search Behavior
  • Machine Learning and Algorithms
  • Advanced Text Analysis Techniques
  • Logic, Reasoning, and Knowledge

Among recent papers authored by Karen Sparck Jones are:

  • A probabilistic model of information and retrieval: development and status, 2021, CL Technical Reports
  • Automatic summarising: a review and discussion of the state of the art, 2021, CL Technical Reports
  • Discourse modelling for automatic summarising, 2021, CL Technical Reports

Co-authors frequently collaborating with Karen Sparck Jones include:

  • G.J.F. Jones
  • Jonathan Foote
  • Sydney Young
  • S. Young
  • Branimir Boguraev

The scientist has also contributed to book publications under CL Technical Reports, including:

  • Compound noun interpretation problems, 2021
  • User models and expert systems, 2021
  • Architecture problems in the construction of expert systems for document retrieval, 2021
  • Three papers on parsing, 2021

Karen Sparck Jones regularly publishes in venues such as CL Technical Reports, with occasional publications in Scientific Repository (Petra Christian University) and Latino Studies.

Best Publications

  • A statistical interpretation of term specificity and its application in retrieval

    Karen Sparck Jones

  • A probabilistic model of information retrieval: development and comparative experiments

    K. Sparck Jones;S. Walker;S. E. Robertson;S. E. Robertson

  • Readings in information retrieval

    Karen Sparck Jones;Peter Willett

  • Evaluating Natural Language Processing Systems: An Analysis and Review

    Karen Sparck Jones;Julia R. Galliers

  • Key concepts

    Karen Sparck Jones;Peter Willett

  • Automatic summarising: The state of the art

    Karen Spärck Jones

  • Natural language processing for information retrieval

    David D. Lewis;Karen Spärck Jones

  • Information Retrieval Experiment

    Karen Sparck Jones

  • Report on the need for and provision of an 'ideal' information retrieval test collection

    Karen Sparck Jones;C. J. Van Rijsbergen

  • Automatic keyword classification for information retrieval

    Karen Sparck Jones

  • Index term weighting

    Karen Sparck Jones

  • Automatic content-based retrieval of broadcast news

    M. G. Brown;J. T. Foote;G. J. F. Jones;K. Sparck Jones

  • Natural language interfaces to databases

    Ann A. Copestake;Karen Sparck Jones

  • Synonymy and Semantic Classification

    Karen Sparck Jones

  • Retrieving spoken documents by combining multiple index sources

    G. J. F. Jones;J. T. Foote;K. Spärck Jones;S. J. Young

  • IDF term weighting and IR research lessons

    Karen Spärck Jones

  • Natural Language Processing: A Historical Review

    Karen Sparck Jones

  • Automatic summarising: factors and directions

    Karen Sparck Jones

  • Automatic Search Term variant Generation

    Unknown

  • Open-vocabulary speech indexing for voice and video mail retrieval

    M. G. Brown;J. T. Foote;G. J. F. Jones;K. Spärck Jones

  • What is the Role of NLP in Text Retrieval

    Karen Sparck Jones

  • Relevance weighting of search terms

    Stephen E. Robertson;Karen Sparck Jones

Frequent Co-Authors

Philip C. Woodland
Philip C. Woodland University of Cambridge
Stephen Robertson
Stephen Robertson University College London
Peter Willett
Peter Willett University of Sheffield
Ann Copestake
Ann Copestake University of Cambridge
Roger M. Needham
Roger M. Needham Microsoft (United States)
Steve Young
Steve Young University of Cambridge
Ellen M. Voorhees
Ellen M. Voorhees National Institute of Standards and Technology
Peter Ingwersen
Peter Ingwersen University of Copenhagen
Norbert Fuhr
Norbert Fuhr University of Duisburg-Essen
Stephen Pulman
Stephen Pulman University of Oxford

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