Easy-reading Text Generation

Easy-Reading Text Generation is a text simplification approach that systematically transforms complex linguistic input into output texts optimized for enhanced readability and comprehension by targeting lower lexical, syntactic, and structural complexity.

20

Publications

984

Citations

50

Authors

20

Institutions

Publications per year

2017–2026

3

Authors

50

  1. ML
    Mirella Lapata

    University of Edinburgh, United Kingdom

    2 publications · 53 citations

    2

    h-index

  2. LS
    Lucia Specia

    University of Sheffield, United Kingdom

    2 publications · 158 citations

    2

    h-index

  3. LB
    Laetitia Brouwers

    Fundación Pública Andaluza Centro de las Nuevas Tecnologías del Agua, Spain

    2 publications · 60 citations

    2

    h-index

  4. TA
    Thiago Alexandre Salgueiro Pardo

    Universidade de São Paulo, Brazil

    1 publications · 53 citations

    1

    h-index

  5. HS
    Horacio Saggion

    Universitat Pompeu Fabra, Spain

    1 publications · 56 citations

    1

    h-index

1–5 of 50

Venues

  1. Memory & Cognition

    2 publications · 202 citations

    2

    h-index

  2. Journal of Curriculum Studies

    JCS · 1 publications · 63 citations

    1

    h-index

  3. Lirias (KU Leuven)

    Repository · 1 publications · 128 citations

    1

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 39 citations

    1

    h-index

  5. Open Research Online (The Open University)

    Repository · 1 publications · 39 citations

    1

    h-index

1–5