Spacy - HOME-Alcar - Person
This model detects Person entities in Latin.
Model description
The model has been trained using the Spacy v2 library on the HOME-Alcar document annotations to detect the person and location entities. The model is compatible with version 2.3.5 of Spacy and incompatible with versions 3.x.x.
Evaluation results
The model achieves the following results on HOME-Alcar:
| tag | predicted | matched | Precision | Recall | F1 | Support |
|---|---|---|---|---|---|---|
| PERS | 28,276 | 28,006 | 0.990 | 0.997 | 0.994 | 28,087 |
| LOC | 17,627 | 17,406 | 0.987 | 0.983 | 0.985 | 17,699 |
| All | 45,903 | 45,412 | 0.989 | 0.992 | 0.991 | 45,786 |
How to use?
Please refer to the Spacy library to use this model.
Cite us!
@inproceedings{spacy2022,
author = {Monroc, Claire Bizon and Miret, Blanche and Bonhomme, Marie-Laurence and Kermorvant, Christopher},
title = {{A Comprehensive Study Of Open-Source Libraries For Named Entity Recognition On Handwritten Historical Documents}},
year = {2022},
isbn = {978-3-031-06554-5},
url = {https://doi.org/10.1007/978-3-031-06555-2_29},
doi = {10.1007/978-3-031-06555-2_29},
booktitle = {Document Analysis Systems: 15th IAPR International Workshop, DAS 2022, La Rochelle, France, May 22–25, 2022, Proceedings},
pages = {429–444},
numpages = {16},
}