2025
Journal article
Open Access
Automatic extraction of regesta for medieval latin text summarization
Puccetti G., Righi L., Sabbatini I., Esuli A.
Regestum, Automatic Summarization, Latin
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.
Source: ERCIM NEWS, vol. 141, pp. 31-32
Back to previous page
BibTeX entry
@article{oai:iris.cnr.it:20.500.14243/555941,
title = {Automatic extraction of regesta for medieval latin text summarization},
author = {Puccetti G. and Righi L. and Sabbatini I. and Esuli A.},
year = {2025}
}
0000-0002-5725-4322