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Trigger nonproj.deprojectivize as a postprocess
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3a65a0c970
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@ -97,7 +97,7 @@ class Language(object):
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'tokenizer': lambda nlp: nlp.Defaults.create_tokenizer(nlp),
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'tokenizer': lambda nlp: nlp.Defaults.create_tokenizer(nlp),
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'tensorizer': lambda nlp, **cfg: TokenVectorEncoder(nlp.vocab, **cfg),
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'tensorizer': lambda nlp, **cfg: TokenVectorEncoder(nlp.vocab, **cfg),
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'tagger': lambda nlp, **cfg: NeuralTagger(nlp.vocab, **cfg),
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'tagger': lambda nlp, **cfg: NeuralTagger(nlp.vocab, **cfg),
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'parser': lambda nlp, **cfg: NeuralDependencyParser(nlp.vocab, **cfg), # nonproj.deprojectivize,
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'parser': lambda nlp, **cfg: NeuralDependencyParser(nlp.vocab, **cfg),
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'ner': lambda nlp, **cfg: NeuralEntityRecognizer(nlp.vocab, **cfg),
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'ner': lambda nlp, **cfg: NeuralEntityRecognizer(nlp.vocab, **cfg),
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'similarity': lambda nlp, **cfg: SimilarityHook(nlp.vocab, **cfg),
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'similarity': lambda nlp, **cfg: SimilarityHook(nlp.vocab, **cfg),
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'textcat': lambda nlp, **cfg: TextCategorizer(nlp.vocab, **cfg)
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'textcat': lambda nlp, **cfg: TextCategorizer(nlp.vocab, **cfg)
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@ -28,6 +28,7 @@ from thinc.neural._classes.difference import Siamese, CauchySimilarity
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from .tokens.doc cimport Doc
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from .tokens.doc cimport Doc
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from .syntax.parser cimport Parser as LinearParser
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from .syntax.parser cimport Parser as LinearParser
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from .syntax.nn_parser cimport Parser as NeuralParser
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from .syntax.nn_parser cimport Parser as NeuralParser
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from .syntax import nonproj
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from .syntax.parser import get_templates as get_feature_templates
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from .syntax.parser import get_templates as get_feature_templates
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from .syntax.beam_parser cimport BeamParser
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from .syntax.beam_parser cimport BeamParser
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from .syntax.ner cimport BiluoPushDown
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from .syntax.ner cimport BiluoPushDown
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@ -773,11 +774,19 @@ cdef class DependencyParser(LinearParser):
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if isinstance(label, basestring):
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if isinstance(label, basestring):
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label = self.vocab.strings[label]
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label = self.vocab.strings[label]
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@property
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def postprocesses(self):
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return [nonproj.deprojectivize]
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cdef class NeuralDependencyParser(NeuralParser):
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cdef class NeuralDependencyParser(NeuralParser):
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name = 'parser'
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name = 'parser'
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TransitionSystem = ArcEager
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TransitionSystem = ArcEager
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@property
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def postprocesses(self):
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return [nonproj.deprojectivize]
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def init_multitask_objectives(self, gold_tuples, pipeline, **cfg):
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def init_multitask_objectives(self, gold_tuples, pipeline, **cfg):
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for target in []:
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for target in []:
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labeller = NeuralLabeller(self.vocab, target=target)
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labeller = NeuralLabeller(self.vocab, target=target)
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@ -818,6 +827,11 @@ cdef class BeamDependencyParser(BeamParser):
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if isinstance(label, basestring):
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if isinstance(label, basestring):
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label = self.vocab.strings[label]
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label = self.vocab.strings[label]
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@property
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def postprocesses(self):
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return [nonproj.deprojectivize]
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__all__ = ['Tagger', 'DependencyParser', 'EntityRecognizer', 'BeamDependencyParser',
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__all__ = ['Tagger', 'DependencyParser', 'EntityRecognizer', 'BeamDependencyParser',
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'BeamEntityRecognizer', 'TokenVectorEnoder']
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'BeamEntityRecognizer', 'TokenVectorEnoder']
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@ -739,6 +739,14 @@ cdef class Parser:
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for i in range(doc.length):
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for i in range(doc.length):
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doc.c[i] = state.c._sent[i]
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doc.c[i] = state.c._sent[i]
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self.moves.finalize_doc(doc)
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self.moves.finalize_doc(doc)
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for hook in self.postprocesses:
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for doc in docs:
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hook(doc)
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@property
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def postprocesses(self):
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# Available for subclasses, e.g. to deprojectivize
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return []
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def add_label(self, label):
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def add_label(self, label):
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for action in self.moves.action_types:
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for action in self.moves.action_types:
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