Automatic medieval charters structure detection : A Bi-LSTM linear segmentation approach

This paper presents a model aiming to automatically detect sections in medieval Latin charters. These legal sources are some of the most important sources for medieval studies as they reflect economic and social dynamics as well as legal and institutional writing practices. An automatic linear segme...

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Vydané v:	Journal of data mining and digital humanities Ročník 2022
Hlavní autori:	Torres Aguilar, Sergio, Chastang, Pierre, Tannier, Xavier
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	INRIA 30.10.2022 Nicolas Turenne
Predmet:	[info.info-lg]computer science [cs]/machine learning [cs.lg] [info.info-tt]computer science [cs]/document and text processing [shs.hist]humanities and social sciences/history automatic structure detection Computer Science digital diplomatics Document and Text Processing History Humanities and Social Sciences latin nlp linear text segmentation Machine Learning medieval charters medieval digital studies digital diplomatics medieval digital studies linear text segmentation Latin NLP medieval charters automatic structure detection
ISSN:	2416-5999, 2416-5999
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