Can summarization approximate simplification? A gold standard comparison

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Hauptverfasser: Magnifico, Giacomo, Barbu, Eduard
Format: Preprint
Veröffentlicht: 2025
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author Magnifico, Giacomo
Barbu, Eduard
author_facet Magnifico, Giacomo
Barbu, Eduard
contents This study explores the overlap between text summarization and simplification outputs. While summarization evaluation methods are streamlined, simplification lacks cohesion, prompting the question: how closely can abstractive summarization resemble gold-standard simplification? We address this by applying two BART-based BRIO summarization methods to the Newsela corpus, comparing outputs with manually annotated simplifications and achieving a top ROUGE-L score of 0.654. This provides insight into where summarization and simplification outputs converge and differ.
format Preprint
id arxiv_https___arxiv_org_abs_2501_16181
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Can summarization approximate simplification? A gold standard comparison
Magnifico, Giacomo
Barbu, Eduard
Computation and Language
This study explores the overlap between text summarization and simplification outputs. While summarization evaluation methods are streamlined, simplification lacks cohesion, prompting the question: how closely can abstractive summarization resemble gold-standard simplification? We address this by applying two BART-based BRIO summarization methods to the Newsela corpus, comparing outputs with manually annotated simplifications and achieving a top ROUGE-L score of 0.654. This provides insight into where summarization and simplification outputs converge and differ.
title Can summarization approximate simplification? A gold standard comparison
topic Computation and Language
url https://arxiv.org/abs/2501.16181