spaCy/spacy/syntax/conll.pyx

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import numpy
import codecs
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import json
import random
from spacy.munge.alignment import align
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from libc.string cimport memset
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def read_json_file(loc):
paragraphs = []
for doc in json.load(open(loc)):
for paragraph in doc['paragraphs']:
words = []
ids = []
tags = []
heads = []
labels = []
iob_ents = []
for token in paragraph['tokens']:
words.append(token['orth'])
ids.append(token['id'])
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tags.append(token['tag'])
heads.append(token['head'] if token['head'] >= 0 else token['id'])
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labels.append(token['dep'])
iob_ents.append(token.get('iob_ent', '-'))
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brackets = []
paragraphs.append((paragraph['raw'],
(ids, words, tags, heads, labels, _iob_to_biluo(iob_ents)),
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paragraph.get('brackets', [])))
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return paragraphs
def _iob_to_biluo(tags):
out = []
curr_label = None
tags = list(tags)
while tags:
out.extend(_consume_os(tags))
out.extend(_consume_ent(tags))
return out
def _consume_os(tags):
while tags and tags[0] == 'O':
yield tags.pop(0)
def _consume_ent(tags):
if not tags:
return []
target = tags.pop(0).replace('B', 'I')
length = 1
while tags and tags[0] == target:
length += 1
tags.pop(0)
label = target[2:]
if length == 1:
return ['U-' + label]
else:
start = 'B-' + label
end = 'L-' + label
middle = ['I-%s' % label for _ in range(1, length - 1)]
return [start] + middle + [end]
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cdef class GoldParse:
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def __init__(self, tokens, annot_tuples, brackets=tuple()):
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self.mem = Pool()
self.loss = 0
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self.length = len(tokens)
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# These are filled by the tagger/parser/entity recogniser
self.c_tags = <int*>self.mem.alloc(len(tokens), sizeof(int))
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self.c_heads = <int*>self.mem.alloc(len(tokens), sizeof(int))
self.c_labels = <int*>self.mem.alloc(len(tokens), sizeof(int))
self.c_ner = <Transition*>self.mem.alloc(len(tokens), sizeof(Transition))
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self.c_brackets = <int**>self.mem.alloc(len(tokens), sizeof(int*))
for i in range(len(tokens)):
self.c_brackets[i] = <int*>self.mem.alloc(len(tokens), sizeof(int))
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self.tags = [None] * len(tokens)
self.heads = [None] * len(tokens)
self.labels = [''] * len(tokens)
self.ner = ['-'] * len(tokens)
self.cand_to_gold = align([t.orth_ for t in tokens], annot_tuples[1])
self.gold_to_cand = align(annot_tuples[1], [t.orth_ for t in tokens])
self.orig_annot = zip(*annot_tuples)
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self.ents = []
for i, gold_i in enumerate(self.cand_to_gold):
if gold_i is None:
# TODO: What do we do for missing values again?
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pass
else:
self.tags[i] = annot_tuples[2][gold_i]
self.heads[i] = self.gold_to_cand[annot_tuples[3][gold_i]]
self.labels[i] = annot_tuples[4][gold_i]
# TODO: Declare NER information MISSING if tokenization incorrect
for start, end, label in self.ents:
if start == (end - 1):
self.ner[start] = 'U-%s' % label
else:
self.ner[start] = 'B-%s' % label
for i in range(start+1, end-1):
self.ner[i] = 'I-%s' % label
self.ner[end-1] = 'L-%s' % label
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self.brackets = {}
for (gold_start, gold_end, label_str) in brackets:
start = self.gold_to_cand[gold_start]
end = self.gold_to_cand[gold_end]
if start is not None and end is not None:
self.brackets.setdefault(start, {}).setdefault(end, set())
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self.brackets[end][start].add(label)
def __len__(self):
return self.length
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def is_punct_label(label):
return label == 'P' or label.lower() == 'punct'