mirror of https://github.com/explosion/spaCy.git
114 lines
3.5 KiB
Python
114 lines
3.5 KiB
Python
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import os
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from os import path
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import re
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def split(text):
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"""Split an annotation file by sentence. Each sentence's annotation should
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be a single string."""
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return text.strip().split('\n')[1:-1]
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def parse(string, strip_bad_periods=False):
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"""Given a sentence's annotation string, return a list of word strings,
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and a list of named entities, where each entity is a (start, end, label)
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triple."""
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tokens = []
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tags = []
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open_tag = None
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# Arbitrary corrections to promote alignment, and ensure that entities
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# begin at a space. This allows us to treat entities as tokens, making it
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# easier to return the list of entities.
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string = string.replace('... .', '...')
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string = string.replace('U.S.</ENAMEX> .', 'U.S.</ENAMEX>')
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string = string.replace('Co.</ENAMEX> .', 'Co.</ENAMEX>')
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string = string.replace('U.S. .', 'U.S.')
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string = string.replace('<ENAMEX ', '<ENAMEX')
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string = string.replace(' E_OFF="', 'E_OFF="')
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string = string.replace(' S_OFF="', 'S_OFF="')
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string = string.replace('units</ENAMEX>-<ENAMEX', 'units</ENAMEX> - <ENAMEX')
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string = string.replace('<ENAMEXTYPE="PERSON"E_OFF="1">Paula</ENAMEX> Zahn', 'Paula Zahn')
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string = string.replace('<ENAMEXTYPE="CARDINAL"><ENAMEXTYPE="CARDINAL">little</ENAMEX> drain</ENAMEX>', 'little drain')
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for substr in string.strip().split():
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substr = _fix_inner_entities(substr)
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tokens.append(_get_text(substr))
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try:
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tag, open_tag = _get_tag(substr, open_tag)
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except:
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print string
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raise
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tags.append(tag)
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return tokens, tags
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tag_re = re.compile(r'<ENAMEXTYPE="[^"]+">')
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def _fix_inner_entities(substr):
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tags = tag_re.findall(substr)
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if '</ENAMEX' in substr and not substr.endswith('</ENAMEX'):
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substr = substr.replace('</ENAMEX>', '') + '</ENAMEX>'
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if tags:
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substr = tag_re.sub('', substr)
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return tags[0] + substr
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else:
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return substr
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def _get_tag(substr, tag):
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if substr.startswith('<'):
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tag = substr.split('"')[1]
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if substr.endswith('>'):
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return 'U-' + tag, None
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else:
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return 'B-%s' % tag, tag
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elif substr.endswith('>'):
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return 'L-' + tag, None
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elif tag is not None:
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return 'I-' + tag, tag
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else:
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return 'O', None
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def _get_text(substr):
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if substr.startswith('<'):
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substr = substr.split('>', 1)[1]
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if substr.endswith('>'):
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substr = substr.split('<')[0]
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return reform_string(substr)
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def tags_to_entities(tags):
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entities = []
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start = None
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for i, tag in enumerate(tags):
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if tag.startswith('O') or tag == '-':
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assert not start
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continue
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elif tag.startswith('I'):
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assert start is not None, tags
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continue
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if tag.startswith('U'):
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entities.append((tag[2:], i, i))
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elif tag.startswith('B'):
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start = i
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elif tag.startswith('L'):
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entities.append((tag[2:], start, i))
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start = None
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else:
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print tags
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raise StandardError(tag)
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return entities
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def reform_string(tok):
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tok = tok.replace("``", '"')
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tok = tok.replace("`", "'")
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tok = tok.replace("''", '"')
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tok = tok.replace('\\', '')
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tok = tok.replace('-LCB-', '{')
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tok = tok.replace('-RCB-', '}')
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tok = tok.replace('-RRB-', ')')
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tok = tok.replace('-LRB-', '(')
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tok = tok.replace("'T-", "'T")
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tok = tok.replace('-AMP-', '&')
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return tok
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