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@@ -10,8 +10,8 @@ base_model:
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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
@@ -104,4 +104,17 @@ B-Definition 0.00 0.00 0.00 0
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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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+
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+ # Citation
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+
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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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  ```