bigbio/mantra_gsc

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The declared licence (gpl-3.0) is classified as share-alike.

Declared licence: gpl-3.0, from the tagEvidence: README.md at babc253
Licence files: No licence file at the top level of the repositoryEvidence: file list at babc253
Declared sources: None listed in the card metadata
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Citation text from the card

@article{10.1093/jamia/ocv037,
    author = {Kors, Jan A and Clematide, Simon and Akhondi,
    Saber A and van Mulligen, Erik M and Rebholz-Schuhmann, Dietrich},
    title = "{A multilingual gold-standard corpus for biomedical concept recognition: the Mantra GSC}",
    journal = {Journal of the American Medical Informatics Association},
    volume = {22},
    number = {5},
    pages = {948-956},
    year = {2015},
    month = {05},
    abstract = "{Objective To create a multilingual gold-standard corpus for biomedical concept recognition.Materials
    and methods We selected text units from different parallel corpora (Medline abstract titles, drug labels,
    biomedical patent claims) in English, French, German, Spanish, and Dutch. Three annotators per language
    independently annotated the biomedical concepts, based on a subset of the Unified Medical Language System and
    covering a wide range of semantic groups. To reduce the annotation workload, automatically generated
    preannotations were provided. Individual annotations were automatically harmonized and then adjudicated, and
    cross-language consistency checks were carried out to arrive at the final annotations.Results The number of final
    annotations was 5530. Inter-annotator agreement scores indicate good agreement (median F-score 0.79), and are
    similar to those between individual annotators and the gold standard. The automatically generated harmonized
    annotation set for each language performed equa

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dataset_licence({ "id": "bigbio/mantra_gsc" })
signal: "permissive"
stated_licence: "gpl-3.0"
sources: 0