This paper classifies six publicly available biomedical corpora according to various corpus design features and characteristics. We then present usage data for the six corpora. We show that corpora that are carefully annotated with respect to structural and linguistic characteristics and that are distributed in standard formats are more widely used than corpora that are not. These findings have implications for the design of the next generation of biomedical corpora.
REF list and classify six publically available biomedical corpora, namely, PDG, Wisconsin, GENIA, MEDSTRACT, Yapex and GENETAG, according to various corpus design features and characteristics.
Corpus Design For Biomedical Natural Language Processing
Workshop On Linking Biological Literature, Ontologies And Databases: Mining Biological Semantics
Computer Science