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edsnlp.pipelines.core.terminology.factory

DEFAULT_CONFIG = dict(terms=None, regex=None, attr='TEXT', ignore_excluded=False) module-attribute

create_component(nlp, name, label, terms, attr, regex, ignore_excluded)

Source code in edsnlp/pipelines/core/terminology/factory.py 
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@Language.factory("eds.terminology", default_config=DEFAULT_CONFIG)
def create_component(
    nlp: Language,
    name: str,
    label: str,
    terms: Optional[Dict[str, Union[str, List[str]]]],
    attr: Union[str, Dict[str, str]],
    regex: Optional[Dict[str, Union[str, List[str]]]],
    ignore_excluded: bool,
):
    assert not (terms is None and regex is None)

    if terms is None:
        terms = dict()
    if regex is None:
        regex = dict()

    return TerminologyMatcher(
        nlp,
        label=label,
        terms=terms,
        attr=attr,
        regex=regex,
        ignore_excluded=ignore_excluded,
    )