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  MedDistant19 is a more accurate benchmark for broad-coverage distantly supervised biomedical relation extraction that addresses these shortcomings and is obtained by aligning the MEDLINE abstracts with the widely used SNOMED Clinical Terms knowledge base.
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  For more details, please refer to the paper: https://aclanthology.org/2022.coling-1.198/
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  ### Languages
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  MedDistant19 is a more accurate benchmark for broad-coverage distantly supervised biomedical relation extraction that addresses these shortcomings and is obtained by aligning the MEDLINE abstracts with the widely used SNOMED Clinical Terms knowledge base.
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  For more details, please refer to the paper: https://aclanthology.org/2022.coling-1.198/
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+ **Before Downloading**: To use this data, you must have signed the UMLS agreement. The UMLS agreement requires those who use the UMLS to file a brief report once a year to
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+ summarize their use of the UMLS. It also requires the acknowledgment that the UMLS contains copyrighted material and that those copyright restrictions be respected.
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+ The UMLS agreement requires users to agree to obtain agreements for EACH copyrighted source prior to its use within a commercial or production application. See https://www.nlm.nih.gov/databases/umls.html
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  ### Languages
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