Can summarization approximate simplification? A gold standard comparison
Fuente:
arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866916697768722432 |
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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 |