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edsnlp.pipelines.ner.umls.factory

PATTERN_CONFIG = dict(languages=['FRE'], sources=None) module-attribute

DEFAULT_CONFIG = dict(attr='NORM', ignore_excluded=False, term_matcher=TerminologyTermMatcher.exact, term_matcher_config={}, pattern_config=PATTERN_CONFIG) module-attribute

create_component(nlp, name, attr, ignore_excluded, term_matcher, term_matcher_config, pattern_config)

Source code in edsnlp/pipelines/ner/umls/factory.py 
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@Language.factory(
    "eds.umls", default_config=DEFAULT_CONFIG, assigns=["doc.ents", "doc.spans"]
)
def create_component(
    nlp: Language,
    name: str,
    attr: Union[str, Dict[str, str]],
    ignore_excluded: bool,
    term_matcher: TerminologyTermMatcher,
    term_matcher_config: Dict[str, Any],
    pattern_config: Dict[str, Any],
):

    return TerminologyMatcher(
        nlp,
        label="umls",
        regex=None,
        terms=patterns.get_patterns(pattern_config),
        attr=attr,
        ignore_excluded=ignore_excluded,
        term_matcher=term_matcher,
        term_matcher_config=term_matcher_config,
    )