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28 lines
985 B
Python
28 lines
985 B
Python
"""Test interaction between preset entities and sentence boundaries in NER."""
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import spacy
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from spacy.tokens import Doc
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from spacy.pipeline import EntityRuler, EntityRecognizer
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@pytest.mark.xfail
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def test_issue3345():
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"""Test case where preset entity crosses sentence boundary."""
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nlp = spacy.blank("en")
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doc = Doc(nlp.vocab, words=["I", "live", "in", "New", "York"])
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doc[4].is_sent_start = True
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ruler = EntityRuler(nlp, patterns=[{"label": "GPE", "pattern": "New York"}])
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ner = EntityRecognizer(doc.vocab)
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# Add the OUT action. I wouldn't have thought this would be necessary...
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ner.moves.add_action(5, "")
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ner.add_label("GPE")
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doc = ruler(doc)
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# Get into the state just before "New"
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state = ner.moves.init_batch([doc])[0]
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ner.moves.apply_transition(state, "O")
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ner.moves.apply_transition(state, "O")
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ner.moves.apply_transition(state, "O")
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# Check that B-GPE is valid.
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assert ner.moves.is_valid(state, "B-GPE")
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