Annotation Error Analysis

Annotation Error Analysis is a systematic methodological process within knowledge annotation that identifies, classifies, and interprets inaccuracies or inconsistencies in annotated data to improve annotation quality, reliability, and overall data curation practices.

47

Publications

2.6K

Citations

157

Authors

75

Institutions

Publications per year

2017–2026

25

Authors

157

  1. MD
    Markus Dickinson

    Indiana University, United States

    4 publications · 169 citations

    4

    h-index

  2. MP
    Massimo Poesio

    University of Essex, United Kingdom

    3 publications · 132 citations

    3

    h-index

  3. DH
    Dirk Hovy

    Bocconi University, Italy

    2 publications · 162 citations

    2

    h-index

  4. PP
    Pietro Perona

    California Institute of Technology, United States

    2 publications · 71 citations

    2

    h-index

  5. GV
    Grant Van Horn

    California Institute of Technology, United States

    2 publications · 71 citations

    2

    h-index

1–5 of 157

Venues

  1. Medical Image Analysis

    2 publications · 89 citations

    2

    h-index

  2. BMC Bioinformatics

    2 publications · 178 citations

    2

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 25 citations

    2

    h-index

  4. Journal of Signal Processing Systems

    1 publications · 15 citations

    1

    h-index

  5. 1

    h-index

1–5