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language: en

tags:

  • biomedical
  • lexical-semantics

datasets:

  • UMLS

SapBERT-PubMedBERT

SapBERT by Liu et al. (2020). Trained with UMLS 2020AA (English only), using microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext as the base model. Please use [CLS] as the representation of the input.

Citation

@article{liu2020self,
  title={Self-alignment Pre-training for Biomedical Entity Representations},
  author={Liu, Fangyu and Shareghi, Ehsan and Meng, Zaiqiao and Basaldella, Marco and Collier, Nigel},
  journal={arXiv preprint arXiv:2010.11784},
  year={2020}
}