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In order to make it easier to construct `Doc` objects as training data, modify how missing and blocked entity tokens are set to prioritize setting `O` and missing entity tokens for training purposes over setting blocked entity tokens. * `Doc.ents` setter sets tokens outside entity spans to `O` regardless of the current state of each token * For `Doc.ents`, setting a span with a missing label sets the `ent_iob` to missing instead of blocked * `Doc.block_ents(spans)` marks spans as hard `O` for use with the `EntityRecognizer` |
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| .. | ||
| __init__.py | ||
| test_add_label.py | ||
| test_arc_eager_oracle.py | ||
| test_ner.py | ||
| test_neural_parser.py | ||
| test_nn_beam.py | ||
| test_nonproj.py | ||
| test_parse_navigate.py | ||
| test_parse.py | ||
| test_preset_sbd.py | ||
| test_space_attachment.py | ||