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 # KBioXLM
 
 The aligned corpus constructed using the knowledge-anchored method is combined with a multi task training strategy to continue training XLM-R, thus obtaining KBioXLM. It is the first multilingual biomedical pre-trained language model we know that has cross-lingual understanding capabilities in medical domain. It was introduced in the paper [KBioXLM: A Knowledge-anchored Biomedical
-Multilingual Pretrained Language Model](http://arxiv.org/abs/2311.11564). and first released in [this repository](https://github.com/ngwlh-gl/KBioXLM/tree/main)
+Multilingual Pretrained Language Model](http://arxiv.org/abs/2311.11564) and released in [this repository](https://github.com/ngwlh-gl/KBioXLM/tree/main).
 
 ## Model description
 KBioXLM model can be fintuned on downstream tasks. The downstream tasks here refer to biomedical cross-lingual understanding tasks, such as biomedical entity recognition, biomedical relationship extraction and biomedical text classification.