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--- |
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library_name: Spacy |
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license: mit |
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tags: |
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- Spacy |
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- Named entity recognition |
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metrics: |
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- P |
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- R |
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- F1 |
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language: |
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- la |
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- de |
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- cs |
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version: |
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- Spacy v2 |
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--- |
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# Spacy - HOME-NACR Multilingual |
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This model detects Person and Location entities in Latin, Czech and German. |
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## Model description |
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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. |
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## Evaluation results |
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The model achieves the following results on HOME-NACR: |
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| tag | predicted | matched | Precision | Recall | F1 | Support | |
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| ---- | --------: | ------: | --------: | -----: | ----: | ------: | |
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| PERS | 28,276 | 28,006 | 0.990 | 0.997 | 0.994 | 28,087 | |
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| LOC | 27,541 | 27,165 | 0.986 | 0.987 | 0.987 | 27,528 | |
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| All | 55,817 | 55,171 | 0.988 | 0.992 | 0.990 | 55,615 | |
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## How to use? |
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Please refer to the [Spacy library](https://pypi.org/project/spacy/2.3.5/) to use this model. |
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## Cite us! |
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```bibtex |
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@inproceedings{spacy2022, |
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author = {Monroc, Claire Bizon and Miret, Blanche and Bonhomme, Marie-Laurence and Kermorvant, Christopher}, |
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title = {{A Comprehensive Study Of Open-Source Libraries For Named Entity Recognition On Handwritten Historical Documents}}, |
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year = {2022}, |
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isbn = {978-3-031-06554-5}, |
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url = {https://doi.org/10.1007/978-3-031-06555-2_29}, |
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doi = {10.1007/978-3-031-06555-2_29}, |
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booktitle = {Document Analysis Systems: 15th IAPR International Workshop, DAS 2022, La Rochelle, France, May 22–25, 2022, Proceedings}, |
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pages = {429–444}, |
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numpages = {16}, |
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} |
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``` |
