Update README.md

README.md

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 **[news]** A cross-lingual extension of SapBERT will appear in the main onference of **ACL 2021**! <br>
 **[news]** SapBERT will appear in the conference proceedings of **NAACL 2021**!
 
+### SapBERT-PubMedBERT
+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.
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 ### Expected input and output
 The input should be a string of biomedical entity names, e.g., "covid infection" or "Hydroxychloroquine". The [CLS] embedding of the last layer is regarded as the output.
 
@@ -57,11 +60,6 @@ all_embs = np.concatenate(all_embs, axis=0)
 
 For more details about training and eval, see SapBERT [github repo](https://github.com/cambridgeltl/sapbert).
 
-### SapBERT-PubMedBERT
-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.
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 ### Citation
 ```bibtex