| --- |
| license: apache-2.0 |
| language: |
| - bg |
| library_name: spacy |
| pipeline_tag: token-classification |
| metrics: |
| - accuracy |
| - f1 |
| --- |
| |
| # Pretrained spaCy model of Bulgarian language |
|
|
| Full paper: [An Improved Bulgarian Natural Language Processing Pipeline](https://annual.uni-sofia.bg/index.php/fmi/article/view/572/559). |
|
|
| Presentation [here](https://docs.google.com/presentation/d/1igrxFjlWuPxZuU9mDI1_H23iYA7Rq6D4/edit?usp=sharing&ouid=108163209901619891277&rtpof=true&sd=true). |
|
|
| # Usage |
| For information how to use the model, refer to the [GitHub repository of the project](https://github.com/melaniab/spacy-pipeline-bg). |
|
|
| # Reference |
|
|
| If you use the pipeline in your academic project, please cite as: |
|
|
| ```bibtex |
| @article |
| {berbatova2023improved, |
| title={An improved Bulgarian natural language processing pipeline}, |
| author={Berbatova, Melania and Ivanov, Filip}, |
| journal={Annual of Sofia University St. Kliment Ohridski. Faculty of Mathematics and Informatics}, |
| volume={110}, |
| pages={37--50}, |
| year={2023} |
| } |
| ``` |
|
|
| If you use this model in non-academic project, such as study project or industry application, please drop me a note at melania.berbatova@gmail.com. |
