Human Summarization Annotation

Human Summarization Annotation is a scholarly contribution in the field of text summarization that involves the manual creation, labeling, or refinement of summary content by human annotators to establish high-quality reference summaries or training data for evaluating or developing automated summarization systems.

13

Publications

366

Citations

49

Authors

19

Institutions

Publications per year

2017–2026

6

Authors

49

  1. JO
    Jessica Ouyang

    Columbia University, United States

    1 publications · 19 citations

    1

    h-index

  2. MH
    Mark Hepple

    University of Sheffield, United Kingdom

    1 publications · 19 citations

    1

    h-index

  3. OS
    Ori Shapira

    Bar-Ilan University, Israel

    1 publications · 48 citations

    1

    h-index

  4. SC
    Sangwoo Cho

    Johns Hopkins University, United States

    1 publications · 18 citations

    1

    h-index

  5. TB
    Trung Bui

    Adobe Systems (United States), United States

    1 publications · 18 citations

    1

    h-index

1–5 of 49

Venues

  1. ACM Transactions on Speech and Language Processing

    TSLP · 1 publications · 12 citations

    1

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 50 citations

    1

    h-index

  3. arXiv (Cornell University)

    Repository · 1 publications · 72 citations

    1

    h-index

  4. Compensation & Benefits Review

    1 publications · 50 citations

    1

    h-index

  5. 1

    h-index

1–5