edsnlp.pipelines.ner.cim10.factory

DEFAULT_CONFIG = dict(attr='NORM', ignore_excluded=False) module-attribute

create_component(nlp, name, attr, ignore_excluded)

Source code in edsnlp/pipelines/ner/cim10/factory.py

@Language.factory("eds.cim10", default_config=DEFAULT_CONFIG)
def create_component(
    nlp: Language,
    name: str,
    attr: Union[str, Dict[str, str]],
    ignore_excluded: bool,
):

    return TerminologyMatcher(
        nlp,
        label="cim10",
        regex=None,
        terms=patterns.get_patterns(),
        attr=attr,
        ignore_excluded=ignore_excluded,
    )