adrianeboyd b841d3fe75 Add a tagger-based SentenceRecognizer (#4713) ... * Add sent_starts to GoldParse * Add SentTagger pipeline component Add `SentTagger` pipeline component as a subclass of `Tagger`. * Model reduces default parameters from `Tagger` to be small and fast * Hard-coded set of two labels: * S (1): token at beginning of sentence * I (0): all other sentence positions * Sets `token.sent_start` values * Add sentence segmentation to Scorer Report `sent_p/r/f` for sentence boundaries, which may be provided by various pipeline components. * Add sentence segmentation to CLI evaluate * Add senttagger metrics/scoring to train CLI * Rename SentTagger to SentenceRecognizer * Add SentenceRecognizer to spacy.pipes imports * Add SentenceRecognizer serialization test * Shorten component name to sentrec * Remove duplicates from train CLI output metrics		2019-11-28 11:10:07 +01:00
..
__init__.py	Revert #4334	2019-09-29 17:32:12 +02:00
test_serialize_doc.py	Tidy up and auto-format	2019-10-18 11:27:38 +02:00
test_serialize_extension_attrs.py	Revert #4334	2019-09-29 17:32:12 +02:00
test_serialize_kb.py	Fix test imports	2019-09-29 17:34:56 +02:00
test_serialize_language.py	Revert #4334	2019-09-29 17:32:12 +02:00
test_serialize_pipeline.py	Add a tagger-based SentenceRecognizer (#4713)	2019-11-28 11:10:07 +01:00
test_serialize_tokenizer.py	Revert #4334	2019-09-29 17:32:12 +02:00
test_serialize_vocab_strings.py	Revert #4334	2019-09-29 17:32:12 +02:00