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Update wording [ci skip]
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
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@ -24,7 +24,7 @@ By default, components are updated in isolation during training, which means
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that they don't see the predictions of any earlier components in the pipeline.
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The new
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[`[training.annotating_components]`](/usage/training#annotating-components)
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config setting lets you specify pipeline component names that should set
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config setting lets you specify pipeline components that should set
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annotations on the predicted docs during training. This makes it easy to use the
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predictions of a previous component in the pipeline as features for a subsequent
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component, e.g. the dependency labels in the tagger:
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