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README.md
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[SlavicNER corpus](https://github.com/SlavicNLP/SlavicNER).
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# Usage
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You can use this model directly with a pipeline for text2text generation:
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```
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#
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| **Language** | **Seq2seq** | **Support** |
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|:------------:|:-----------:|-----------------:|
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| PL | 75.13 | 2 549 |
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| CS | 77.92 | 1 137 |
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| RU | 67.56 | 18 018 |
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| BG | 63.60 | 6 085 |
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| SL | 76.81 | 7 082 |
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| UK | 58.94 | 3 085 |
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| All | 68.75 | 37 956 |
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[SlavicNER corpus](https://github.com/SlavicNLP/SlavicNER).
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# Resources and Technical Documentation
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- Paper: [Cross-lingual Named Entity Corpus for Slavic Languages](https://arxiv.org/pdf/2404.00482), to appear in LREC-COLING 2024.
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- Annotation guidelines: https://arxiv.org/pdf/2404.00482
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- SlavicNER Corpus: https://github.com/SlavicNLP/SlavicNER
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# Evaluation
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| **Language** | **Seq2seq** | **Support** |
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|:------------:|:-----------:|-----------------:|
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| PL | 75.13 | 2 549 |
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| CS | 77.92 | 1 137 |
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| RU | 67.56 | 18 018 |
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| BG | 63.60 | 6 085 |
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| SL | 76.81 | 7 082 |
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| UK | 58.94 | 3 085 |
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| All | 68.75 | 37 956 |
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# Usage
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You can use this model directly with a pipeline for text2text generation:
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```
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# Citation
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*Will appear soon*
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