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
Parents
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61

University of Wolverhampton
Wolverhampton, United Kingdom
4 h-index
10 publications
268 citations

University of Edinburgh
Edinburgh, United Kingdom
3 h-index
5 publications
562 citations

Universitat Pompeu Fabra
Barcelona, Spain
2 h-index
4 publications
86 citations
Kyushu Institute of Technology
Kitakyushu, Japan
2 h-index
4 publications
64 citations
University of Portsmouth
Portsmouth, United Kingdom
2 h-index
5 publications
102 citations
University of Sheffield
Sheffield, United Kingdom
2 h-index
5 publications
294 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
4 publications
219 citations
University of Cambridge
Cambridge, United Kingdom
2 h-index
3 publications
141 citations
1–8 of 61
3 publications · 115 citations
3
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TFS · 2 publications · 135 citations
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2 publications · 42 citations
2
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2 publications · 616 citations
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Conference · 1 publications · 16 citations
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1–5