Error Annotation

Error Annotation is a scholarly contribution in the field of Error Analysis that involves the systematic identification, classification, and labeling of errors within data, models, or outputs, distinguished by its purpose of enabling detailed diagnostic evaluation and improvement of computational or linguistic systems.

77

Publications

4.6K

Citations

208

Authors

99

Institutions

Publications per year

2017–2026

25

Authors

208

  1. MD
    Markus Dickinson

    Indiana University, United States

    7 publications · 251 citations

    7

    h-index

  2. JT
    Joel Tetreault

    Educational Testing Service, United States

    6 publications · 390 citations

    6

    h-index

  3. AR
    Alla Rozovskaya

    University of Illinois Urbana-Champaign, United States

    4 publications · 270 citations

    4

    h-index

  4. MC
    Martin Chodorow

    Hunter College, United States

    4 publications · 266 citations

    4

    h-index

  5. AB
    Adriane Boyd

    The Ohio State University, United States

    3 publications · 98 citations

    3

    h-index

1–5 of 208

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 97 citations

    2

    h-index

  2. CALICO Journal

    2 publications · 187 citations

    2

    h-index

  3. System

    2 publications · 44 citations

    2

    h-index

  4. International Joint Conference on Natural Language Processing

    Conference · 1 publications · 24 citations

    1

    h-index

  5. Chinese Science Bulletin

    1 publications · 12 citations

    1

    h-index

1–5