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TORRES AGUILAR Sergio Octavio

University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Humanities (DHUM) > History

ORCID
0000-0002-1801-3147
Main Referenced Co-authors
Jolivet, Vincent (5)
Chastang, Pierre (3)
Tannier, Xavier (3)
Claustre, Julie (2)
Stutzmann, Dominique (2)
Main Referenced Keywords
Corpus Burgundiae Medii Aevi; medieval charters; digital databases; digital humanities; Latin NLP; named entities recognition (1); digital diplomatics (1); digital humanities (1); Digital philology ; Diplomatics ; Medieval history ; Digital humanities ; Named entities recognition ; Medieval Latin ; Humanités numériques ; Reconnaissance des entités nommées ; Latin TAL ; Histoire médiévale ; Philologie numérique ; Diplomatique (1); handwritten text recognition ; Latin palaeography ; named entity recognition (1);
Main Referenced Unit & Research Centers
ULHPC - University of Luxembourg: High Performance Computing (1)
Main Referenced Disciplines
History (8)
Engineering, computing & technology: Multidisciplinary, general & others (4)
Arts & humanities: Multidisciplinary, general & others (2)
Languages & linguistics (1)

Publications (total 15)

The most downloaded
78 downloads
Torres Aguilar, S. O., & Jolivet, V. (2023). Handwritten Text Recognition for Documentary Medieval Manuscripts. Journal of Data Mining and Digital Humanities. doi:10.46298/jdmdh.10484 https://hdl.handle.net/10993/54991

The most cited

1 citations (OpenCitations)

Torres Aguilar, S. O. (2017). La reconnaissance des entités nommées dans les bases numériques de chartes médiévales en latin : le cas du Corpus Burgundiae Medii Aevi (xe-xiiie siècle). Medievales, 73. doi:10.4000/medievales.8182 https://hdl.handle.net/10993/54751

Torres Aguilar, S. O., & Jolivet, V. (In press). Handwritten Text Recognition for Documentary Medieval Manuscripts. Journal of Data Mining and Digital Humanities.
Peer Reviewed verified by ORBi

Torres Aguilar, S. O., & Jolivet, V. (2023). Handwritten Text Recognition for Documentary Medieval Manuscripts. Journal of Data Mining and Digital Humanities. doi:10.46298/jdmdh.10484
Peer Reviewed verified by ORBi

Claustre, J., Smith, D., & TORRES AGUILAR, S. O. (2023). The e-NDP project : collaborative digital edition of the Chapter registers of Notre-Dame of Paris (1326-1504). Ground-truth for handwriting text recognition (HTR) on late medieval manuscripts. Zenodo. doi:10.5281/zenodo.7575693

TORRES AGUILAR, S. O., & Jolivet, V. (2023). HTR model for Latin and French Medieval Documentary Manuscripts (12th-15th). doi:10.5281/zenodo.7547438

Torres Aguilar, S. O., & Jolivet, V. (2022). HTR fine tuning for medieval manuscripts models: strategies and evaluation [Paper presentation]. Documents anciens et reconnaissance automatique des écritures manuscrites, Paris, France.

Torres Aguilar, S. O., & Claustre, J. (2022). Le projet e-NDP, Notre Dame de Paris et son cloître [Paper presentation]. Intelligence artificielle et Société, Paris, France.

Torres Aguilar, S. O. (2022). Multilingual Named Entity Recognition for Medieval Charters using Stacked Embeddings and BERT-based Models. In Second Workshop on Language Technologies for Historical and Ancient Languages (LT4HALA, 2022).
Peer reviewed

Torres Aguilar, S. O., Chastang, P., & Tannier, X. (2022). Automatic medieval charters structure detection : A Bi-LSTM linear segmentation approach. Journal of Data Mining and Digital Humanities, 2022. doi:10.46298/jdmdh.8646
Peer reviewed

Jolivet, V., & TORRES AGUILAR, S. O. (2022). Document similarity and topic clues. A historiographical study case [Paper presentation]. Digital Humanities 2022 Conference, Tokyo, Japan.
Peer reviewed

Torres Aguilar, S. O., & Stutzmann, D. (2021). Named Entity Recognition for French medieval charters. In Workshop on Natural Language Processing for Digital Humanities.
Peer reviewed

Stutzmann, D., Torres Aguilar, S. O., & Chaffenet, P. (2021). HOME-Alcar: Aligned and Annotated Cartularies. doi:10.5281/zenodo.5600884

Chastang, P., TORRES AGUILAR, S. O., & Tannier, X. (2021). A Named Entity Recognition Model for Medieval Latin Charters. Digital Humanities Quarterly, 15 (4).
Peer Reviewed verified by ORBi

Torres Aguilar, S. O. (2019). Un modèle de reconnaissance automatique des entités nommées et des structures textuelles pour les corpus diplomatiques médiolatins [Doctoral thesis, Université Paris-Saclay]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/54749

Torres Aguilar, S. O. (2017). La reconnaissance des entités nommées dans les bases numériques de chartes médiévales en latin : le cas du Corpus Burgundiae Medii Aevi (xe-xiiie siècle). Medievales, 73. doi:10.4000/medievales.8182
Peer reviewed

Torres Aguilar, S. O., Tannier, X., & Chastang, P. (2016). Named entity recognition applied on a data base of Medieval Latin charters. The case of chartae burgundiae. In 3rd International Workshop on Computational History (HistoInformatics 2016).
Peer reviewed

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