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README.md
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# RuBERT base fine-tuned on ruDEFT and WCL Wiki Ru datasets for NER
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The model aims to extract terms and defenitions in a text.
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Labels:
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- Term
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- Definition
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```python
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import torch
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accuracy 0.93 11611
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macro avg 0.54 0.53 0.54 11611
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weighted avg 0.99 0.93 0.96 11611
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```
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# RuBERT base fine-tuned on ruDEFT and WCL Wiki Ru datasets for NER
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The model aims to extract terms and defenitions in a text.
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Labels:
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- Term - a word or phrase.
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- Definition - the span that defines some term.
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```python
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import torch
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accuracy 0.93 11611
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macro avg 0.54 0.53 0.54 11611
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weighted avg 0.99 0.93 0.96 11611
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```
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# Citation
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``
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@article{Popov2025TransferringNL,
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title={Transferring Natural Language Datasets Between Languages Using Large Language Models for Modern Decision Support and Sci-Tech Analytical Systems},
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author={Dmitrii Popov and Egor Terentev and Danil Serenko and Ilya Sochenkov and Igor Buyanov},
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journal={Big Data and Cognitive Computing},
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year={2025},
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url={https://api.semanticscholar.org/CorpusID:278179500}
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}
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```
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