Annotation Summarization

Annotation Summarization is a computational method that belongs to the class of annotation processing techniques, distinguished by its specific function of extracting or generating concise, semantically representative summaries from a set of annotations in visualizations to reduce redundancy and enhance interpretability.

4

Publications

117

Citations

18

Authors

7

Institutions

Publications per year

2017–2026

2

Authors

18

  1. PT
    Pierfrancesco Tassone

    Magna Graecia University, Italy

    1 publications · 17 citations

    1

    h-index

  2. MC
    Mario Cannataro

    Magna Graecia University, Italy

    1 publications · 17 citations

    1

    h-index

  3. OS
    Ori Shapira

    Bar-Ilan University, Israel

    1 publications · 48 citations

    1

    h-index

  4. DX
    Dongqing Xiao

    University of Illinois Urbana-Champaign, United States

    1 publications · 11 citations

    1

    h-index

  5. RP
    Ramakanth Pasunuru

    University of North Carolina at Chapel Hill, United States

    1 publications · 48 citations

    1

    h-index

1–5 of 18

Venues

  1. Translation Studies

    1 publications · 41 citations

    1

    h-index

  2. Soft Computing

    1 publications · 17 citations

    1

    h-index

1–2