HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Preprints, Working Papers, ...

Controllable Sentence Simplification

Abstract : Text simplification aims at making a text easier to read and understand by simplifying grammar and structure while keeping the underlying information identical. It is often considered an all-purpose generic task where the same simplification is suitable for all; however multiple audiences can benefit from simplified text in different ways. We adapt a discrete parametrization mechanism that provides explicit control on simplification systems based on Sequence-to-Sequence models. As a result, users can condition the simplifications returned by a model on parameters such as length, amount of paraphrasing, lexical complexity and syntactic complexity. We also show that carefully chosen values of these parameters allow out-of-the-box Sequence-to-Sequence models to outperform their standard counterparts on simplification benchmarks. Our model, which we call ACCESS (as shorthand for AudienCe-CEntric Sentence Simplification), increases the state of the art to 41.87 SARI on the WikiLarge test set, a +1.42 gain over previously reported scores.
Document type :
Preprints, Working Papers, ...
Complete list of metadata

https://hal.inria.fr/hal-02445874
Contributor : Benoît Sagot Connect in order to contact the contributor
Submitted on : Monday, January 20, 2020 - 2:34:46 PM
Last modification on : Friday, February 4, 2022 - 3:13:00 AM

Links full text

Identifiers

  • HAL Id : hal-02445874, version 1
  • ARXIV : 1910.02677

Collections

Citation

Louis Martin, Benoît Sagot, Éric Villemonte de la Clergerie, Antoine Bordes. Controllable Sentence Simplification. 2019. ⟨hal-02445874⟩

Share

Metrics

Record views

78