Rule-based Simplification

Rule-Based Simplification is a text simplification method that belongs to the class of rule-driven approaches, distinguished by its reliance on manually crafted linguistic or syntactic transformation rules to systematically reduce text complexity without incorporating statistical or neural learning models.

53

Publications

2.6K

Citations

123

Authors

61

Institutions

Publications per year

2017–2026

12

Variants

Rule-based Text Simplification

Authors

123

  1. UK
    Uzay Kaymak

    Erasmus University Rotterdam, Netherlands

    3 publications · 553 citations

    3

    h-index

  2. RE
    Richard Evans

    University of Wolverhampton, United Kingdom

    3 publications · 83 citations

    3

    h-index

  3. CO
    Constantin Orǎsan

    University of Wolverhampton, United Kingdom

    3 publications · 83 citations

    3

    h-index

  4. RB
    Robert Babuška

    Delft University of Technology, Netherlands

    2 publications · 526 citations

    2

    h-index

  5. KW
    Kristian Woodsend

    University of Edinburgh, United Kingdom

    2 publications · 257 citations

    2

    h-index

1–5 of 123

Venues

  1. Fuzzy Sets and Systems

    3 publications · 115 citations

    3

    h-index

  2. IEEE Transactions on Fuzzy Systems

    TFS · 2 publications · 135 citations

    2

    h-index

  3. Journal of Intelligent & Fuzzy Systems

    2 publications · 42 citations

    2

    h-index

  4. 2

    h-index

  5. Proceedings of 6th International Fuzzy Systems Conference

    Conference · 1 publications · 16 citations

    1

    h-index

1–5