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Fig. 1 | Journal of Biomedical Semantics

Fig. 1

From: SemClinBr - a multi-institutional and multi-specialty semantically annotated corpus for Portuguese clinical NLP tasks

Fig. 1

A broad view of SemClinBr corpus development. The diagram is an overview of the SemClinBr corpus development, which shows the selection of thousands of clinical notes from multiple hospitals and medical specialties. A multidisciplinary team developed the elements in orange, representing (i) the fine-grained annotation schema following the UMLS semantic types and (ii) the web-based annotation tool featuring the UMLS REST API. These resources supported the generation of the ground truth (i.e., gold standard), which was evaluated intrinsically (i.e., inter-annotation agreement) and extrinsically in two different NLP tasks (i.e., named entity recognition and negation detection)

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Journal of Biomedical Semantics

ISSN: 2041-1480