A Controllable Text Simplification System for the Italian Language

Daniele Schicchi, Giosue' Lo Bosco, Giovanni Pilato, Daniele Schicchi, Giosue Lo Bosco

Risultato della ricerca: Conference contribution

Abstract

Text simplification is a non-trivial task that aims at reducing the linguistic complexity of written texts. Researchers have studied the problem by proposing new methodologies for addressing the English language, but other languages, like the Italian one, are almost unexplored. In this paper, we give a contribution to the enhancement of the Automated Text Simplification research by presenting a deep learning-based system, inspired by a state of the art system for the English language, capable of simplifying Italian texts. The system has been trained and tested by leveraging the Italian version of Newsela; it has shown promising results by achieving a SARI value of 30.17.
Lingua originaleEnglish
Titolo della pubblicazione ospiteProceedings - 2021 IEEE 15th International Conference on Semantic Computing, ICSC 2021
Pagine191-194
Numero di pagine4
Stato di pubblicazionePublished - 2021

All Science Journal Classification (ASJC) codes

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  • ???subjectarea.asjc.1700.1706???
  • ???subjectarea.asjc.1800.1801???

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