mirror of
https://github.com/explosion/spaCy.git
synced 2024-11-14 05:37:03 +03:00
commit
a06b84e7cc
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@ -33,12 +33,14 @@ p
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from spacy.vocab import Vocab
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from spacy.vocab import Vocab
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from spacy.pipeline import EntityRecognizer
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from spacy.pipeline import EntityRecognizer
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from spacy.tokens import Doc
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from spacy.tokens import Doc
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from spacy.gold import GoldParse
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vocab = Vocab()
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vocab = Vocab()
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entity = EntityRecognizer(vocab, entity_types=['PERSON', 'LOC'])
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entity = EntityRecognizer(vocab, entity_types=['PERSON', 'LOC'])
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doc = Doc(vocab, words=['Who', 'is', 'Shaka', 'Khan', '?'])
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doc = Doc(vocab, words=['Who', 'is', 'Shaka', 'Khan', '?'])
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entity.update(doc, ['O', 'O', 'B-PERSON', 'L-PERSON', 'O'])
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gold = GoldParse(doc, entities=['O', 'O', 'B-PERSON', 'L-PERSON', 'O'])
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entity.update(doc, gold)
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entity.model.end_training()
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entity.model.end_training()
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@ -65,13 +67,14 @@ p.o-inline-list
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from spacy.vocab import Vocab
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from spacy.vocab import Vocab
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from spacy.pipeline import DependencyParser
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from spacy.pipeline import DependencyParser
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from spacy.tokens import Doc
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from spacy.tokens import Doc
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from spacy.gold import GoldParse
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vocab = Vocab()
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vocab = Vocab()
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parser = DependencyParser(vocab, labels=['nsubj', 'compound', 'dobj', 'punct'])
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parser = DependencyParser(vocab, labels=['nsubj', 'compound', 'dobj', 'punct'])
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doc = Doc(vocab, words=['Who', 'is', 'Shaka', 'Khan', '?'])
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doc = Doc(vocab, words=['Who', 'is', 'Shaka', 'Khan', '?'])
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parser.update(doc, [(1, 'nsubj'), (1, 'ROOT'), (3, 'compound'), (1, 'dobj'),
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gold = GoldParse(doc, [1,1,3,1,1], ['nsubj', 'ROOT', 'compound', 'dobj', 'punct'])
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(1, 'punct')])
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parser.update(doc, gold)
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parser.model.end_training()
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parser.model.end_training()
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@ -120,7 +123,7 @@ p
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+code.
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+code.
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from spacy.vocab import Vocab
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from spacy.vocab import Vocab
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from spacy.pipeline import Tagger
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from spacy.tagger import Tagger
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from spacy.tagger import P2_orth, P1_orth
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from spacy.tagger import P2_orth, P1_orth
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from spacy.tagger import P2_cluster, P1_cluster, W_orth, N1_orth, N2_orth
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from spacy.tagger import P2_cluster, P1_cluster, W_orth, N1_orth, N2_orth
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