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b841d3fe75
* 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 |
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| .. | ||
| converters | ||
| __init__.py | ||
| _schemas.py | ||
| convert.py | ||
| debug_data.py | ||
| download.py | ||
| evaluate.py | ||
| info.py | ||
| init_model.py | ||
| link.py | ||
| package.py | ||
| pretrain.py | ||
| profile.py | ||
| train.py | ||
| validate.py | ||