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frutik/gist:c42751d81842f8aa3f0005d9518dbb58

Last active April 3, 2023 16:34
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gistfile1.txt
from spacy.pipeline import EntityRuler
import spacy
nlp = spacy.blank("nl")
ruler = nlp.add_pipe("entity_ruler")
ruler.from_disk('fb.jsonl')
doc = nlp("I like Ralph Lauren and fruit of THE LOOM")
print([(ent.text, ent.label_) for ent in doc.ents])
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gistfile2.txt
{"label":"FASHION_BRAND","pattern":[{"lower":"fruit"},{"lower":"of"},{"lower":"the"},{"lower":"loom"}]}
{"label":"FASHION_BRAND","pattern":[{"lower":"ralph"},{"lower":"lauren"}]}
{"label":"FASHION_BRAND","pattern":[{"lower":"uniqlo"}]}
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