100 lines (77 with data), 1.2 kB
jupyter:
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text_representation:
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language: python
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%reload_ext autoreload
%autoreload 2
# Importation du "contexte", ie la bibliothèque sans installation
import context
import spacy
import pandas as pd
# One-shot import of all declared spaCy components
from edsnlp.utils.brat import BratConnector
BRAT connector
brat = BratConnector('../../data/section_dataset/')
texts = brat.read_texts()
texts.head()
brat.read_brat_annotation('BMI_4406356.txt.txt')
texts, annotations = brat.get_brat()
annotations
nlp = spacy.blank('fr')
docs = brat.brat2docs(nlp)
doc = docs[0]
doc.ents
doc.ents[0]
annotations.head()
brat = BratConnector('test')
brat.docs2brat(docs)