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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Veröffentlicht in:	Journal of data mining and digital humanities Jg. 2022
Hauptverfasser:	Torres Aguilar, Sergio, Chastang, Pierre, Tannier, Xavier
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	INRIA 30.10.2022 Nicolas Turenne
Schlagworte:	[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
Online-Zugang:	Volltext
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