NCBI Disease
Introduced by Rezarta Islamaj Dogan et al. in NCBI disease corpus: A resource for disease name recognition and concept normalization
The NCBI Disease corpus consists of 793 PubMed abstracts, which are separated into training (593), development (100) and test (100) subsets. The NCBI Disease corpus is annotated with disease mentions, using concept identifiers from either MeSH or OMIM.
Source: A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and NormalizationBenchmarks
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NCBI-disease
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Spark NLP
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NCBI Disease
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UniNER-7B
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NCBI-disease
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BERT Base
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Papers
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