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Merge pull request #1956 from pktippa/web-doc-patches
Website documentation changes Linguistic features, dependency parse
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2392ec9d8c
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@ -65,9 +65,9 @@ p
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- var style = [0, 1, 0, 1, 0]
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+annotation-row(["Autonomous", "amod", "cars", "NOUN", ""], style)
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+annotation-row(["cars", "nsubj", "shift", "VERB", "Autonomous"], style)
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+annotation-row(["shift", "ROOT", "shift", "VERB", "cars, liability"], style)
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+annotation-row(["shift", "ROOT", "shift", "VERB", "cars, liability, toward"], style)
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+annotation-row(["insurance", "compound", "liability", "NOUN", ""], style)
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+annotation-row(["liability", "dobj", "shift", "VERB", "insurance, toward"], style)
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+annotation-row(["liability", "dobj", "shift", "VERB", "insurance"], style)
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+annotation-row(["toward", "prep", "liability", "NOUN", "manufacturers"], style)
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+annotation-row(["manufacturers", "pobj", "toward", "ADP", ""], style)
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@ -80,7 +80,7 @@ p
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doc.ents = [netflix_ent]
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ents = [(e.text, e.start_char, e.end_char, e.label_) for e in doc.ents]
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assert ents = [(u'Netflix', 0, 7, u'ORG')]
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assert ents == [(u'Netflix', 0, 7, u'ORG')]
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p
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| Keep in mind that you need to create a #[code Span] with the start and
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@ -54,7 +54,7 @@ p
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+code.
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import spacy
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from spacy.symbols import ORTH, LEMMA, POS
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from spacy.symbols import ORTH, LEMMA, POS, TAG
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nlp = spacy.load('en')
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doc = nlp(u'gimme that') # phrase to tokenize
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