We produced a novel dataset of 4,533 medieval Latin regesta (summaries) paired with full texts, extracted through a meticulous pipeline involving manual annotation, custom model training, text extraction, and post-processing to ensure high-quality, structured data for AI-driven summarization tasks.
Automatic extraction of regesta for medieval latin text summarization
Puccetti G.;Esuli A.
2025
Abstract
We produced a novel dataset of 4,533 medieval Latin regesta (summaries) paired with full texts, extracted through a meticulous pipeline involving manual annotation, custom model training, text extraction, and post-processing to ensure high-quality, structured data for AI-driven summarization tasks.File in questo prodotto:
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Puccetti_EN 2025_Regesta.pdf
accesso aperto
Descrizione: https://ercim-news.ercim.eu/en141/special/automatic-extraction-of-regesta-for-medieval-latin-text-summarization#google_vignette
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Creative commons
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3.04 MB
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