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