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European Conference on Information Retrieval

ECIR 2022: Advances in Information Retrieval pp 597–600Cite as

ECIR 2022 Tutorial: Technology-Assisted Review for High Recall Retrieval

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13186))

Abstract

Human-in-the-loop (HITL) IR workflows are being applied to an increasing range of tasks in the law, medicine, social media, and other areas.

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References

  1. Cormack, G.V., Grossman, M.R.: Engineering quality and reliability in technology-assisted review. In: SIGIR, pp. 75–84. ACM Press, Pisa, Italy (2016). https://doi.org/10.1145/2911451.2911510, http://dl.acm.org/citation.cfm?doid=2911451.2911510, 00024

  2. Lewis, D.D., Yang, E., Frieder, O.: Certifying one-phase technology-assisted reviews. In: Proceedings of 30th ACM International Conference on Information and Knowledge Management (2021)

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  3. Yang, E., Lewis, D.D., Frieder, O.: Heuristic stopping rules for technology-assisted review. In: Proceedings of the 21st ACM Symposium on Document Engineering (2021)

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Author information

Authors and Affiliations

  1. Human Language Technology Center of Excellence, Johns Hopkins University, Baltimore, USA

    Eugene Yang

  2. OpenText, San Mateo, USA

    Jeremy Pickens

  3. Redgrave Data, San Francisco, USA

    David D. Lewis

Authors
  1. Eugene Yang
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  2. Jeremy Pickens
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  3. David D. Lewis
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Corresponding author

Correspondence to Eugene Yang .

Editor information

Editors and Affiliations

  1. Martin Luther University Halle-Wittenberg, Halle, Germany

    Matthias Hagen

  2. Leiden University, Leiden, The Netherlands

    Suzan Verberne

  3. University of Glasgow, Glasgow, UK

    Craig Macdonald

  4. University of Duisburg-Essen, Essen, Germany

    Christin Seifert

  5. University of Stavanger, Stavanger, Norway

    Krisztian Balog

  6. Norwegian University of Science and Technology, Trondheim, Norway

    Kjetil Nørvåg

  7. University of Stavanger, Stavanger, Norway

    Vinay Setty

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© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Yang, E., Pickens, J., Lewis, D.D. (2022). ECIR 2022 Tutorial: Technology-Assisted Review for High Recall Retrieval. In: Hagen, M., et al. Advances in Information Retrieval. ECIR 2022. Lecture Notes in Computer Science, vol 13186. Springer, Cham. https://doi.org/10.1007/978-3-030-99739-7_75

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  • DOI: https://doi.org/10.1007/978-3-030-99739-7_75

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-99738-0

  • Online ISBN: 978-3-030-99739-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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