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Article . 2019
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Lexical simplification approach using easy-to-read resources

Authors: Rodrigo Alarcón; Lourdes Moreno 0001; Isabel Segura-Bedmar; Paloma Martínez;

Lexical simplification approach using easy-to-read resources

Abstract

Este trabajo tiene como objetivo facilitar la comprensión y legibilidad de textos en español en un dominio genérico a través del diseño de un sistema de simplificación léxica que da soporte a la tarea de Complex Word Identification (CWI) y elección de sustituto más sencillo. Considerando la limitación de recursos disponibles en español, exploramos diferentes características que nos permitan discernir entre una palabra compleja y una simple. Algunas de estas características son obtenidas de lectura fácil. La evaluación muestra buenos resultados al obtener 0.7497 en F1-score en la tarea de CWI con el dataset de la competición de BEA Workshop 2018.

This work aims to facilitate the understanding and readability of Spanish texts in a generic domain through the design of a lexical simplification system that provides support to the task of Complex Word Identification (CWI) and selection of a simpler substitute. Considering the limited resources available in Spanish, we explore different features that allow us to discern between a complex word and a simpler one. Some of these features are obtained from easy-to-read resources. The evaluation shows good results by obtaining an F1-Score of 0.7497 on the CWI Task with the BEA Workshop 2018 competition’s dataset.

This work was supported by the Research Program of the Ministry of Economy and Competitiveness - Government of Spain, (DeepEMR project TIN2017-87548-C2-1-R).

Keywords

Lectura fácil, Easy-to-read, Lenguajes y Sistemas Informáticos, Lexical Simplification, Accessibility, Accesibilidad, Simplificación Léxica

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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