A Novel Dataset for Financial Education Text Simplification in Spanish

Text simplification, crucial in natural language processing, aims to make texts more comprehensible, particularly for specific groups like visually impaired Spanish speakers, a less-represented language in this field. In Spanish, there are few datasets that can be used to create text simplification...

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Bibliographic Details
Published in:arXiv.org 2023-12
Main Authors: Perez-Rojas, Nelson, Calderon-Ramirez, Saul, Solis-Salazar, Martin, Romero-Sandoval, Mario, Arias-Monge, Monica, Saggion, Horacio
Format: Article
Language:English
Subjects:
Data augmentation
Datasets
Natural language processing
Simplification
Online Access:Get full text
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Summary:Text simplification, crucial in natural language processing, aims to make texts more comprehensible, particularly for specific groups like visually impaired Spanish speakers, a less-represented language in this field. In Spanish, there are few datasets that can be used to create text simplification systems. Our research has the primary objective to develop a Spanish financial text simplification dataset. We created a dataset with 5,314 complex and simplified sentence pairs using established simplification rules. We also compared our dataset with the simplifications generated from GPT-3, Tuner, and MT5, in order to evaluate the feasibility of data augmentation using these systems. In this manuscript we present the characteristics of our dataset and the findings of the comparisons with other systems. The dataset is available at Hugging face, saul1917/FEINA.
ISSN:2331-8422