MultiCardioNER, being focused on the adaptation of general clinical models to specific specialties and the creation of multilingual models, uses multiple datasets:<\/p>\n\n\n\n
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All datasets were manually annotated by clinical experts using the brat annotation tool<\/a> following well-defined annotation guidelines, defined after several cycles of quality control and annotation consistency analysis before annotating the entire dataset.<\/p>\n\n\n\n The annotations were originally created in Spanish and then transferred into English and Italian via machine translation and lexical annotation projection. The result of this process was revised by clinicians who are also native speakers of each language to validate them. To account for possible mistranslations that affected the clinical entities, these experts provided alternative suggestions for annotated entities in case they didn’t agree with the automatic translation. These translations were then integrated into the text by replacing the existing annotated span with their proposed text.<\/p>\n\n\n\n More information on the annotation scheme (and their inter-annotator agreement) is available in the Annotation Guidelines<\/a> page.<\/p>\n\n\n\nAbout the format<\/h2>\n\n\n\n