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Add multi-task objective for sentence segmentation
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@ -624,11 +624,13 @@ class MultitaskObjective(Tagger):
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self.make_label = self.make_dep_tag_offset
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elif target == 'ent_tag':
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self.make_label = self.make_ent_tag
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elif target == 'sent_start':
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self.make_label = self.make_sent_start
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elif hasattr(target, '__call__'):
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self.make_label = target
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else:
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raise ValueError("MultitaskObjective target should be function or "
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"one of: dep, tag, ent, dep_tag_offset, ent_tag.")
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"one of: dep, tag, ent, sent_start, dep_tag_offset, ent_tag.")
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self.cfg = dict(cfg)
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self.cfg.setdefault('cnn_maxout_pieces', 2)
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self.cfg.setdefault('pretrained_dims',
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@ -737,6 +739,52 @@ class MultitaskObjective(Tagger):
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else:
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return '%s-%s' % (tags[i], ents[i])
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@staticmethod
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def make_sent_start(target, words, tags, heads, deps, ents, cache=True, _cache={}):
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'''A multi-task objective for representing sentence boundaries,
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using BILU scheme. (O is impossible)
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The implementation of this method uses an internal cache that relies
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on the identity of the heads array, to avoid requiring a new piece
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of gold data. You can pass cache=False if you know the cache will
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do the wrong thing.
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'''
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if cache:
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if id(heads) in _cache:
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return _cache[id(heads)][target]
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else:
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for key in list(_cache.keys()):
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_cache.pop(key)
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sent_tags = ['I-SENT'] * len(words)
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_cache[id(heads)] = sent_tags
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else:
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sent_tags = ['I-SENT'] * len(words)
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def _find_root(child):
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while heads[child] != child:
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if heads[child] is None:
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if child == 0:
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return child
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else:
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child -= 1
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else:
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child = heads[child]
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return child
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sentences = {}
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for i in range(len(words)):
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root = _find_root(i)
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sentences.setdefault(root, []).append(i)
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for root, span in sorted(sentences.items()):
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if len(span) == 1:
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sent_tags[span[0]] = 'U-SENT'
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else:
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sent_tags[span[0]] = 'B-SENT'
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sent_tags[span[-1]] = 'L-SENT'
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return sent_tags[target]
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class SimilarityHook(Pipe):
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"""
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