SimplifyMyText: An LLM-Based System for Inclusive Plain Language Text Simplification

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Abstract

Text simplification is essential for making complex content accessible to diverse audiences who face comprehension challenges. Yet, the limited availability of simplified materials creates significant barriers to personal and professional growth and hinders social inclusion. Although researchers have explored various methods for automatic text simplification, none fully leverage large language models (LLMs) to offer tailored customization for different target groups and varying levels of simplicity. Moreover, despite its proven benefits for both consumers and organizations, the well-established practice of plain language remains underutilized. In this paper, we introduce https://simplifymytext.org, the first system designed to produce plain language content from multiple input formats, including typed text and file uploads, with flexible customization options for diverse audiences. We employ GPT-4 and Llama-3 and evaluate outputs across multiple metrics. Overall, our work contributes to research on automatic text simplification and highlights the importance of tailored communication in promoting inclusivity.

Details

OriginalspracheEnglisch
TitelAdvances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Proceedings
Redakteure/-innenClaudia Hauff, Craig Macdonald, Dietmar Jannach, Gabriella Kazai, Franco Maria Nardini, Fabio Pinelli, Fabrizio Silvestri, Nicola Tonellotto
Herausgeber (Verlag)Springer Science and Business Media B.V.
Seiten418-424
Seitenumfang7
ISBN (Print)9783031887161
PublikationsstatusVeröffentlicht - 3 Apr. 2025
Peer-Review-StatusJa

Publikationsreihe

ReiheLecture notes in computer science
Band15575 LNCS
ISSN0302-9743

Konferenz

Titel47th European Conference on Information Retrieval
KurztitelECIR 2025
Veranstaltungsnummer47
Dauer6 - 10 April 2025
Webseite
OrtIMT Lucca
StadtLucca
LandItalien

Externe IDs

ORCID /0000-0001-5458-8645/work/193180544

Schlagworte

Schlagwörter

  • Demo System, Large Language Model, Plain Language, Text Simplification