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* Fix code in examples.
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@ -184,7 +184,7 @@ adverbs to. Recall that our previous adverb highlighting function looked like
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this:
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>>> import spacy.en
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>>> from spacy.postags import ADVERB
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>>> from spacy.parts_of_speech import ADV
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>>> # Load the pipeline, and call it with some text.
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>>> nlp = spacy.en.English()
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>>> tokens = nlp("‘Give it back,’ he pleaded abjectly, ‘it’s mine.’",
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@ -206,7 +206,7 @@ problematic, given our starting assumptions:
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>>> from numpy import dot
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>>> from numpy.linalg import norm
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>>> import spacy.en
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>>> from spacy.postags import ADVERB, VERB
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>>> from spacy.parts_of_speech import ADV, VERB
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>>> cosine = lambda v1, v2: dot(v1, v2) / (norm(v1), norm(v2))
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>>> def is_bad_adverb(token, target_verb, tol):
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... if token.pos != ADVERB
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