Automatic Text Simplification Evaluation

Automatic Text Simplification Evaluation is a computational methodology designed to systematically assess the quality and effectiveness of automatically simplified texts by measuring linguistic fidelity, simplicity, and semantic preservation relative to the original input.

132

Publications

6.2K

Citations

274

Authors

122

Institutions

Publications per year

2017–2026

62

Authors

274

  1. SŠ
    Sanja Štajner

    University of Mannheim, Germany

    17 publications · 764 citations

    15

    h-index

  2. HS
    Horacio Saggion

    Universitat Pompeu Fabra, Spain

    13 publications · 476 citations

    13

    h-index

  3. LS
    Lucia Specia

    University of Sheffield, United Kingdom

    11 publications · 589 citations

    11

    h-index

  4. DK
    David Kauchak

    Pomona College, United States

    9 publications · 619 citations

    9

    h-index

  5. WX
    Wei Xu

    The Ohio State University, United States

    7 publications · 1.1K citations

    7

    h-index

1–5 of 274

Venues

  1. arXiv (Cornell University)

    Repository · 8 publications · 164 citations

    8

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 4 publications · 189 citations

    4

    h-index

  3. International Conference on Computational Linguistics

    Conference · 4 publications · 154 citations

    4

    h-index

  4. Recent Advances in Natural Language Processing

    Conference · 3 publications · 50 citations

    3

    h-index

  5. Expert Systems with Applications

    3 publications · 65 citations

    3

    h-index

1–5