mirror of
https://github.com/explosion/spaCy.git
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e0c45c669a
* initial coref_er pipe * matcher more flexible * base coref component without actual model * initial setup of coref_er.score * rename to include_label * preliminary score_clusters method * apply scoring in coref component * IO fix * return None loss for now * rename to CoreferenceResolver * some preliminary unit tests * use registry as callable
40 lines
1.1 KiB
Python
40 lines
1.1 KiB
Python
from .attributeruler import AttributeRuler
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from .coref import CoreferenceResolver
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from .coref_er import CorefEntityRecognizer
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from .dep_parser import DependencyParser
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from .entity_linker import EntityLinker
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from .ner import EntityRecognizer
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from .entityruler import EntityRuler
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from .lemmatizer import Lemmatizer
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from .morphologizer import Morphologizer
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from .pipe import Pipe
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from .trainable_pipe import TrainablePipe
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from .senter import SentenceRecognizer
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from .sentencizer import Sentencizer
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from .tagger import Tagger
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from .textcat import TextCategorizer
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from .textcat_multilabel import MultiLabel_TextCategorizer
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from .tok2vec import Tok2Vec
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from .functions import merge_entities, merge_noun_chunks, merge_subtokens
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__all__ = [
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"AttributeRuler",
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"DependencyParser",
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"EntityLinker",
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"EntityRecognizer",
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"EntityRuler",
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"Morphologizer",
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"Lemmatizer",
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"MultiLabel_TextCategorizer",
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"Pipe",
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"SentenceRecognizer",
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"Sentencizer",
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"Tagger",
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"TextCategorizer",
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"Tok2Vec",
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"TrainablePipe",
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"merge_entities",
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"merge_noun_chunks",
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"merge_subtokens",
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]
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