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Update intro [ci skip]
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It's been great to see the adoption of the new spaCy v3, which introduced
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It's been great to see the adoption of the new spaCy v3, which introduced
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[transformer-based](/usage/embeddings-transformers) pipelines, a new
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[transformer-based](/usage/embeddings-transformers) pipelines, a new
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[config and training system](/usage/training) for reproducible experiments, a
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[config and training system](/usage/training) for reproducible experiments,
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new [projects system](/usage/projects) for end-to-end workflows, and many
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[projects](/usage/projects) for end-to-end workflows, and many
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[other features](/usage/v3). Version 3.1 adds a bunch of new features on top of
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[other features](/usage/v3). Version 3.1 adds more on top of it, including the
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it, including the ability to use predicted annotations during training, a new
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ability to use predicted annotations during training, a new `SpanCategorizer`
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`SpanCategorizer` component for predicting arbitrary and potentially overlapping
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component for predicting arbitrary and potentially overlapping spans, support
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spans, support for partial incorrect annotations in the entity recognizer, new
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for partial incorrect annotations in the entity recognizer, new trained
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trained pipelines for Catalan and Danish, as well as many other bug fixes and
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pipelines for Catalan and Danish, as well as many bug fixes and improvements.
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improvements.
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### Using predicted annotations during training {#predicted-annotations-training}
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### Using predicted annotations during training {#predicted-annotations-training}
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