This model detects Person and Location entities in Latin, Czech and German.
The model has been trained using the Spacy v2 library on the HOME-NACR document annotations. The model is compatible with version 2.3.2 of Spacy and incompatible with versions 3.x.x.
1@inproceedings{spacy2022,
2 author = {Monroc, Claire Bizon and Miret, Blanche and Bonhomme, Marie-Laurence and Kermorvant, Christopher},
3 title = {{A Comprehensive Study Of Open-Source Libraries For Named Entity Recognition On Handwritten Historical Documents}},
4 year = {2022},
5 isbn = {978-3-031-06554-5},
6 url = {https://doi.org/10.1007/978-3-031-06555-2_29},
7 doi = {10.1007/978-3-031-06555-2_29},
8 booktitle = {Document Analysis Systems: 15th IAPR International Workshop, DAS 2022, La Rochelle, France, May 22–25, 2022, Proceedings},
9 pages = {429–444},
10 numpages = {16},
11}
