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  datasets:
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  - UMLS
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  ### SapBERT-XLMR
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  SapBERT [(Liu et al. 2020)](https://arxiv.org/pdf/2010.11784.pdf) trained with [UMLS](https://www.nlm.nih.gov/research/umls/licensedcontent/umlsknowledgesources.html) 2020AB, using [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) as the base model. Please use [CLS] as the representation of the input.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  datasets:
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  - UMLS
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+ [news] An cross-lingual extension of SapBERT will appear in the conference proceedings of ACL 2021!
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+ [news] SapBERT will appear in the conference proceedings of NAACL 2021!
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  ### SapBERT-XLMR
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  SapBERT [(Liu et al. 2020)](https://arxiv.org/pdf/2010.11784.pdf) trained with [UMLS](https://www.nlm.nih.gov/research/umls/licensedcontent/umlsknowledgesources.html) 2020AB, using [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) as the base model. Please use [CLS] as the representation of the input.
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+ ### Citation
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+ ```bibtex
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+ @article{liu2020self,
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+ title={Self-alignment Pre-training for Biomedical Entity Representations},
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+ author={Liu, Fangyu and Shareghi, Ehsan and Meng, Zaiqiao and Basaldella, Marco and Collier, Nigel},
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+ journal={arXiv preprint arXiv:2010.11784},
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+ year={2020}
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+ }
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+ ```