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50 lines
1.6 KiB
Cython
50 lines
1.6 KiB
Cython
from .syntax.parser cimport Parser
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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.arc_eager cimport ArcEager
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from .vocab cimport Vocab
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from .tagger import Tagger
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# TODO: The disorganization here is pretty embarrassing. At least it's only
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# internals.
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from .syntax.parser import get_templates as get_feature_templates
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from .attrs import DEP, ENT_TYPE
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cdef class EntityRecognizer(BeamParser):
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"""Annotate named entities on Doc objects."""
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TransitionSystem = BiluoPushDown
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feature_templates = get_feature_templates('ner')
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def add_label(self, label):
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for action in self.moves.action_types:
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self.moves.add_action(action, label)
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if isinstance(label, basestring):
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label = self.vocab.strings[label]
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for attr, freqs in self.vocab.serializer_freqs:
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if attr == ENT_TYPE and label not in freqs:
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freqs.append([label, 1])
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# Super hacky :(
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self.vocab._serializer = None
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cdef class DependencyParser(Parser):
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TransitionSystem = ArcEager
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feature_templates = get_feature_templates('basic')
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def add_label(self, label):
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for action in self.moves.action_types:
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self.moves.add_action(action, label)
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if isinstance(label, basestring):
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label = self.vocab.strings[label]
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for attr, freqs in self.vocab.serializer_freqs:
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if attr == DEP and label not in freqs:
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freqs.append([label, 1])
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# Super hacky :(
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self.vocab._serializer = None
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__all__ = [Tagger, DependencyParser, EntityRecognizer]
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