Search Results for author: Dominique Stutzmann

Found 7 papers, 3 papers with code

Named Entity Recognition for French medieval charters

no code implementations NLP4DH (ICON) 2021 Sergio Torres Aguilar, Dominique Stutzmann

This paper presents the process of annotating and modelling a corpus to automatically detect named entities in medieval charters in French.

named-entity-recognition Named Entity Recognition +1

HORAE: an annotated dataset of books of hours

no code implementations1 Dec 2020 Mélodie Boillet, Marie-Laurence Bonhomme, Dominique Stutzmann, Christopher Kermorvant

We introduce in this paper a new dataset of annotated pages from books of hours, a type of handwritten prayer books owned and used by rich lay people in the late middle ages.

Line Detection

Hierarchical Text Segmentation for Medieval Manuscripts

1 code implementation COLING 2020 Amir Hazem, Beatrice Daille, Dominique Stutzmann, Christopher Kermorvant, Louis Chevalier

In this paper, we address the segmentation of books of hours, Latin devotional manuscripts of the late Middle Ages, that exhibit challenging issues: a complex hierarchical entangled structure, variable content, noisy transcriptions with no sentence markers, and strong correlations between sections for which topical information is no longer sufficient to draw segmentation boundaries.

Hierarchical Text Segmentation Segmentation +2

ICFHR 2020 Competition on Image Retrieval for Historical Handwritten Fragments

1 code implementation20 Oct 2020 Mathias Seuret, Anguelos Nicolaou, Dominique Stutzmann, Andreas Maier, Vincent Christlein

In particular, we investigate the performance of large-scale retrieval of historical document fragments in terms of style and writer identification.

Image Retrieval Retrieval

ICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents

1 code implementation8 Dec 2019 Vincent Christlein, Anguelos Nicolaou, Mathias Seuret, Dominique Stutzmann, Andreas Maier

This competition investigates the performance of large-scale retrieval of historical document images based on writing style.

Image Retrieval Retrieval

Towards Automatic Variant Analysis of Ancient Devotional Texts

no code implementations WS 2019 Amir Hazem, B{\'e}atrice Daille, Dominique Stutzmann, Jacob Currie, Christine Jacquin

Based on the manual observation of 772 Obsecro Te copies which show more than 21, 000 variants, we show that the proposed methodology is helpful for an automatic study of variants and may serve as basis to analyze and to depict useful information from devotional texts.

R\'eutilisation de Textes dans les Manuscrits Anciens (Text Reuse in Ancient Manuscripts)

no code implementations JEPTALNRECITAL 2019 Amir Hazem, B{\'e}atrice Daille, Dominique Stutzmann, Jacob Currie, Christine Jacquin

Nous nous int{\'e}ressons dans cet article {\`a} la probl{\'e}matique de r{\'e}utilisation de textes dans les livres liturgiques du Moyen {\^A}ge.

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