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Semantic-based Text Simplification

Handcrafted rules and Automatic Evaluation results for a Semantic-based Text Simplification system from the paper:

GRASS: A Syntactic Text Simplification System using DMRS Semantic Representations 
Rita Hijazi, Bernard Espinasse, Núria Gala

./Automatic Evaluation Outputs

Outputs of the systems for the 91 transformed sentences automatically evaluated from the test corpus of Hsplit (repo and paper).

The source, the reference sentences as well as the outputs for HSplit and the evaluated systems outputs can be found at https://github.com/feralvam/easse/tree/master/easse/resources/data

This folder contains the following system outputs:

  • Dress-Ls:"Sentence Simplification with Deep Reinforcement Learning" (paper).
  • Hybrid: "Hybrid Simplification using Deep Semantics and Machine Translation" (paper).
  • PBMT-R: "Sentence Simplification by Monolingual Machine Translation" (paper).
  • UNTS: "Unsupervised Neural Text Simplification" (paper).
  • DSS: "Direct Semantic Splitting" (paper).

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