spaCy/spacy/pipeline.pyx

84 lines
2.6 KiB
Cython

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