SpaCy
Collection
This collection includes models designed for Named Entity Recognition.
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3 items
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Updated
This model detects Location entities in Latin.
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.
The model achieves the following results on HOME-Alcar:
tag | predicted | matched | Precision | Recall | F1 | Support |
---|---|---|---|---|---|---|
PERS | 18,915 | 18,706 | 0.989 | 0.996 | 0.992 | 18,783 |
LOC | 27,541 | 27,165 | 0.986 | 0.987 | 0.987 | 27,528 |
All | 46,456 | 45,871 | 0.987 | 0.990 | 0.989 | 46,311 |
Please refer to the Spacy library to use this model.
@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title = {{A Comprehensive Study Of Open-Source Libraries For Named Entity Recognition On Handwritten Historical Documents}},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},
}