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--- |
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license: mit |
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datasets: |
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- nkjp-ner |
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language: |
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- pl |
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tags: |
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- poldeepner2 |
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- ner |
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--- |
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## About |
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A transformer-based model for named entity recognition for Polish. |
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The model was trained on the NKJP corpus to recognize 12 categories of NEs. |
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## Usage |
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```bash |
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conda create -n pdn2_demo python=3.8 |
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``` |
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```bash |
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conda activate pdn2_demo |
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``` |
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```bash |
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https://pypi.clarin-pl.eu/packages/poldeepner2-0.8.2-py3-none-any.whl |
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``` |
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```bash |
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git clone https://huggingface.co./CodeNLP/pdn2_v08_nkjp_large |
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``` |
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```python |
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import poldeepner2 |
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ner = poldeepner2.load("pdn2_v08_nkjp_large", device="cpu") |
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text = "Od 15 września 2023 roku premierem Łotwy jest Evika Siliņa" |
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for an in ner.process_text(text): |
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print(f"[{an.start}:{an.end}] {an.text} ({an.label})") |
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``` |
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Expected output: |
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``` |
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[3:24] 15 września 2023 roku (date) |
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[35:40] Łotwy (placeName_country) |
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[46:58] Evika Siliņa (persName) |
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[46:51] Evika (persName_forename) |
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[52:58] Siliņa (persName_surname) |
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``` |
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## Author |
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Michał Marcińczuk <[email protected]> |
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## License |
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[MIT](https://choosealicense.com/licenses/mit/ |
