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.
@article{arxiv.2501.16181,
title = {Can summarization approximate simplification? A gold standard comparison},
author = {Giacomo Magnifico and Eduard Barbu},
journal= {arXiv preprint arXiv:2501.16181},
year = {2025}
}
Comments
Accepted at NoDaLiDa 2025 as a poster-presentation short paper