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tested EL scripts with 2.3.4 (#6517)

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Sofie Van Landeghem 2020-12-07 20:46:38 +01:00 committed by GitHub
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commit 52fa46dd58
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2 changed files with 3 additions and 3 deletions
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examples/training/create_kb.py
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@ -9,7 +9,7 @@ For more details, see the documentation:
* Entity Linking: https://spacy.io/usage/linguistic-features#entity-linking
Compatible with: spaCy v2.2.4
Last tested with: v2.2.4
Last tested with: v2.3.4
"""
from __future__ import unicode_literals, print_function

4
examples/training/train_entity_linker.py
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@ -9,7 +9,7 @@ For more details, see the documentation:
* Entity Linking: https://spacy.io/usage/linguistic-features#entity-linking
Compatible with: spaCy v2.2.4
Last tested with: v2.2.4
Last tested with: v2.3.4
"""
from __future__ import unicode_literals, print_function
@ -91,7 +91,7 @@ def main(kb_path, vocab_path, output_dir=None, n_iter=50):
nlp.add_pipe(entity_linker, last=True)
# Convert the texts to docs to make sure we have doc.ents set for the training examples.
# Also ensure that the annotated examples correspond to known identifiers in the knowlege base.
# Also ensure that the annotated examples correspond to known identifiers in the knowledge base.
kb_ids = nlp.get_pipe("entity_linker").kb.get_entity_strings()
TRAIN_DOCS = []
for text, annotation in TRAIN_DATA: