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- SapBERT by [Liu et al. (2020)](https://arxiv.org/pdf/2010.11784.pdf). Please use [CLS] as the representation of the input.
 
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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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+ ---
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+ language: en
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+ tags:
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+ - biomedical
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+ datasets:
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+ - UMLS
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+ ### SapBERT-PubMedBERT
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+ SapBERT by [Liu et al. (2020)](https://arxiv.org/pdf/2010.11784.pdf). Trained with [UMLS](https://www.nlm.nih.gov/research/umls/licensedcontent/umlsknowledgesources.html) 2020AA (English only), using [microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext) as the base model. Please use [CLS] as the representation of the input.
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+
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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},