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  <!-- Provide a quick summary of what the model is/does. -->
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- This is BERT encoder trained on the Spanish-language section of the European Clinical Case corpus as well as the UMLS metathesaurus knowledge graph, as described in [this paper](https://aclanthology.org/2023.clinicalnlp-1.35/).
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  The training corpus consists of a custom combination of clinical documents from the E3C and text sequences derived from the metathesaurus (see our [Github repo](https://github.com/ap-mannion/bertify-umls) for more details).
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  ## Model Details
 
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  <!-- Provide a quick summary of what the model is/does. -->
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+ This is a BERT encoder trained on the Spanish-language section of the European Clinical Case corpus as well as the UMLS metathesaurus knowledge graph, as described in [this paper](https://aclanthology.org/2023.clinicalnlp-1.35/).
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  The training corpus consists of a custom combination of clinical documents from the E3C and text sequences derived from the metathesaurus (see our [Github repo](https://github.com/ap-mannion/bertify-umls) for more details).
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  ## Model Details