Human Evaluation Of Simplification

Human Evaluation of Simplification is a methodological framework within natural language processing research that involves trained or lay human raters assessing the quality, accuracy, and simplicity of automatically simplified texts based on predefined linguistic criteria.

93

Publications

4.9K

Citations

191

Authors

99

Institutions

Publications per year

2017–2026

41

Authors

191

  1. LS
    Lucia Specia

    University of Sheffield, United Kingdom

    12 publications · 594 citations

    12

    h-index

  2. SŠ
    Sanja Štajner

    University of Mannheim, Germany

    11 publications · 520 citations

    11

    h-index

  3. HS
    Horacio Saggion

    Universitat Pompeu Fabra, Spain

    10 publications · 383 citations

    10

    h-index

  4. DK
    David Kauchak

    Pomona College, United States

    9 publications · 540 citations

    9

    h-index

  5. WX
    Wei Xu

    The Ohio State University, United States

    6 publications · 598 citations

    6

    h-index

1–5 of 191

Venues

  1. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 3 publications · 172 citations

    3

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 54 citations

    3

    h-index

  3. International Conference on Computational Linguistics

    Conference · 3 publications · 141 citations

    3

    h-index

  4. Zenodo (CERN European Organization for Nuclear Research)

    Repository · 2 publications · 31 citations

    2

    h-index

  5. International Journal of Medical Informatics

    2 publications · 79 citations

    2

    h-index

1–5