metadata

library_name: Spacy
license: mit
tags:
  - Spacy
  - Named entity recognition
metrics:
  - P
  - R
  - F1
language:
  - la
version:
  - Spacy v2

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    title = {{A Comprehensive Study Of Open-Source Libraries For Named Entity Recognition On Handwritten Historical Documents}},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},
}