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license: apache-2.0
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license: apache-2.0
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Based ob the paper: UmlsBERT: Augmenting Contextual Embeddings with a Clinical Metathesaurus
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and the github repo: https://github.com/gmichalo/UmlsBERT
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Changing base model to SpanBert instead of Bert.
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Trained from scratch on MIMIC dataset, using the UMLS dataset to mask words within the text.
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We achived better accuracy on MedNLI dataset.
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Bert Model accuracy: 83%
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SpanBert Model accuracy: 86%
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