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@@ -12,7 +12,7 @@ Our B2NER models, trained on B2NERD, outperform GPT-4 by 6.8-12.0 F1 points and
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  - ๐Ÿ“– Paper: [Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition](http://arxiv.org/abs/2406.11192)
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  - ๐ŸŽฎ Github Repo: https://github.com/UmeanNever/B2NER
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- - ๐Ÿ“€ Data: See below data section. You can download from [HuggingFace](https://huggingface.co/datasets/Umean/B2NERD) or [Google Drive](https://drive.google.com/file/d/11Wt4RU48i06OruRca2q_MsgpylzNDdjN/view?usp=drive_link).
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  - ๐Ÿ’พ Model (LoRA Adapters): On the way
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  See github repo for more information about data usage and this work.
 
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  - ๐Ÿ“– Paper: [Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition](http://arxiv.org/abs/2406.11192)
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  - ๐ŸŽฎ Github Repo: https://github.com/UmeanNever/B2NER
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+ - ๐Ÿ“€ Data: See below data section. You can download from here (Files) or [Google Drive](https://drive.google.com/file/d/11Wt4RU48i06OruRca2q_MsgpylzNDdjN/view?usp=drive_link).
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  - ๐Ÿ’พ Model (LoRA Adapters): On the way
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  See github repo for more information about data usage and this work.