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Named Entity Recognition, either with Spacy, or GliNER/Tuned Bert models.
-l,--lang
--model
--keep-text
--keep
--drop
--keep-context
input.csv
media,text Le Monde,Emmanuel Macron est à New York ...
xzar ner --lang fr text input.csv > entities.csv
entities.csv
media,entity,entity_type Le Monde,Emmanuel Macron,PERSON Le Monde,New York,GPE
The text was updated successfully, but these errors were encountered:
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Named Entity Recognition, either with Spacy, or GliNER/Tuned Bert models.
Flags
-l,--lang
,--model
, see xzar tokenize #1--keep-text
--keep
,--drop
to select the types--keep-context
, keep sentence where the entity was foundExamples
input.csv
xzar ner --lang fr text input.csv > entities.csv
entities.csv
The text was updated successfully, but these errors were encountered: