2017-10-10 02:26:06 +00:00
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# coding: utf-8
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"""This example contains several snippets of methods that can be set via custom
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Doc, Token or Span attributes in spaCy v2.0. Attribute methods act like
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they're "bound" to the object and are partially applied – i.e. the object
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they're called on is passed in as the first argument."""
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from __future__ import unicode_literals
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from spacy.lang.en import English
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2017-10-11 00:30:40 +00:00
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from spacy.tokens import Doc, Span
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2017-10-10 02:26:06 +00:00
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from spacy import displacy
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from pathlib import Path
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def to_html(doc, output='/tmp', style='dep'):
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"""Doc method extension for saving the current state as a displaCy
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visualization.
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"""
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# generate filename from first six non-punct tokens
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file_name = '-'.join([w.text for w in doc[:6] if not w.is_punct]) + '.html'
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output_path = Path(output) / file_name
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html = displacy.render(doc, style=style, page=True) # render markup
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output_path.open('w', encoding='utf-8').write(html) # save to file
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print('Saved HTML to {}'.format(output_path))
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Doc.set_extension('to_html', method=to_html)
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nlp = English()
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doc = nlp(u"This is a sentence about Apple.")
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# add entity manually for demo purposes, to make it work without a model
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doc.ents = [Span(doc, 5, 6, label=nlp.vocab.strings['ORG'])]
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doc._.to_html(style='ent')
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def overlap_tokens(doc, other_doc):
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"""Get the tokens from the original Doc that are also in the comparison Doc.
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"""
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overlap = []
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other_tokens = [token.text for token in other_doc]
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for token in doc:
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if token.text in other_tokens:
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overlap.append(token)
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return overlap
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Doc.set_extension('overlap', method=overlap_tokens)
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nlp = English()
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doc1 = nlp(u"Peach emoji is where it has always been.")
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doc2 = nlp(u"Peach is the superior emoji.")
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tokens = doc1._.overlap(doc2)
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print(tokens)
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