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TORRES AGUILAR Sergio Octavio

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

Main Referenced Co-authors
Jolivet, Vincent (3)
Chastang, Pierre (2)
Stutzmann, Dominique (2)
Tannier, Xavier (2)
Chaffenet, Paul (1)
Main Referenced Keywords
medieval charters ; HTR for historical documents ; HTR for medieval Latin manuscripts ; digital diplomatics ; medieval digital studies ; HTR for medieval French manuscripts (2); Corpus Burgundiae Medii Aevi; medieval charters; digital databases; digital humanities; Latin NLP; named entities recognition (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); Latin NER ; old spanish NER ; old french NER ; medieval NLP ; NLP for historical languages ; Multilingual named entities recognition (1);
Main Referenced Disciplines
History (6)
Engineering, computing & technology: Multidisciplinary, general & others (3)
Languages & linguistics (1)
Arts & humanities: Multidisciplinary, general & others (1)

Publications (total 11)

The most downloaded
64 downloads
Torres Aguilar, S. O., & Jolivet, V. (2023). Handwritten Text Recognition for Documentary Medieval Manuscripts. Journal of Data Mining and Digital Humanities. 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.
Peer Reviewed verified by ORBi

Torres Aguilar, S. O., & Jolivet, V. (2022). HTR fine tuning for medieval manuscripts models: strategies and evaluation. Paper presented at 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 presented at 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

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

Torres Aguilar, S. O. (2019). Un modèle de reconnaissance automatique des entités nommées et des structures textuelles pour les corpus diplomatiques médiolatins. Unpublished doctoral thesis, Université Paris-Saclay, Paris, France.
Jury: .

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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