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--- |
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language: multilingual |
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tags: |
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- biomedical |
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- lexical-semantics |
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- cross-lingual |
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datasets: |
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- UMLS |
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**[news]** A cross-lingual extension of SapBERT will appear in the main onference 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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``` |