spaCy/spacy/pipeline/__init__.py
Matthew Honnibal 333b1a308b
Adapt parser and NER for transformers (#5449)
* Draft layer for BILUO actions

* Fixes to biluo layer

* WIP on BILUO layer

* Add tests for BILUO layer

* Format

* Fix transitions

* Update test

* Link in the simple_ner

* Update BILUO tagger

* Update __init__

* Import simple_ner

* Update test

* Import

* Add files

* Add config

* Fix label passing for BILUO and tagger

* Fix label handling for simple_ner component

* Update simple NER test

* Update config

* Hack train script

* Update BILUO layer

* Fix SimpleNER component

* Update train_from_config

* Add biluo_to_iob helper

* Add IOB layer

* Add IOBTagger model

* Update biluo layer

* Update SimpleNER tagger

* Update BILUO

* Read random seed in train-from-config

* Update use of normal_init

* Fix normalization of gradient in SimpleNER

* Update IOBTagger

* Remove print

* Tweak masking in BILUO

* Add dropout in SimpleNER

* Update thinc

* Tidy up simple_ner

* Fix biluo model

* Unhack train-from-config

* Update setup.cfg and requirements

* Add tb_framework.py for parser model

* Try to avoid memory leak in BILUO

* Move ParserModel into spacy.ml, avoid need for subclass.

* Use updated parser model

* Remove incorrect call to model.initializre in PrecomputableAffine

* Update parser model

* Avoid divide by zero in tagger

* Add extra dropout layer in tagger

* Refine minibatch_by_words function to avoid oom

* Fix parser model after refactor

* Try to avoid div-by-zero in SimpleNER

* Fix infinite loop in minibatch_by_words

* Use SequenceCategoricalCrossentropy in Tagger

* Fix parser model when hidden layer

* Remove extra dropout from tagger

* Add extra nan check in tagger

* Fix thinc version

* Update tests and imports

* Fix test

* Update test

* Update tests

* Fix tests

* Fix test

Co-authored-by: Ines Montani <ines@ines.io>
2020-05-18 22:23:33 +02:00

31 lines
832 B
Python

from .pipes import Tagger, DependencyParser, EntityRecognizer, EntityLinker
from .pipes import TextCategorizer, Tensorizer, Pipe, Sentencizer
from .pipes import SentenceRecognizer
from .simple_ner import SimpleNER
from .morphologizer import Morphologizer
from .entityruler import EntityRuler
from .tok2vec import Tok2Vec
from .hooks import SentenceSegmenter, SimilarityHook
from .functions import merge_entities, merge_noun_chunks, merge_subtokens
__all__ = [
"Tagger",
"DependencyParser",
"EntityRecognizer",
"EntityLinker",
"TextCategorizer",
"Tensorizer",
"Tok2Vec",
"Pipe",
"Morphologizer",
"EntityRuler",
"Sentencizer",
"SentenceSegmenter",
"SentenceRecognizer",
"SimilarityHook",
"SimpleNER",
"merge_entities",
"merge_noun_chunks",
"merge_subtokens",
]