Negated assigned values not considered in NER pipes

[0dey]

Description

When the negation concerns the attribute of an entity and not the entity itself, the negation is not considered. For example, with the pipe eds.diabetes, if the patient has a diabetes but is not insulino-dependant, the assigned value will be "dependant", whereas it should rather be "non-insulino-dependant".

How to reproduce the bug

import edsnlp, edsnlp.pipes as eds

nlp = edsnlp.blank("eds")
nlp.add_pipe(eds.sentences())
nlp.add_pipe(
    eds.normalizer(
        accents=True,
        lowercase=True,
        quotes=True,
        spaces=True,
        pollution=dict(
            information=True,
            bars=True,
            biology=True,
            doctors=True,
            web=True,
            coding=True,
            footer=True,
        ),
    ),
)
nlp.add_pipe(eds.diabetes())

text = "Le patient a un diabète non insulino-dépendant"
doc = nlp(text)
spans = doc.spans["diabetes"]

print(spans[0]._.assigned)
print(spans[0]._.detailled_status)

The output is:

{'insulin': [dépendant]}
WITHOUT_COMPLICATION

Your Environment

• Python Version Used: 3.7.12
• spaCy Version Used: 3.7.5
• EDS-NLP Version Used: 0.18.0