Update intro [ci skip]

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Ines Montani 2021-06-24 22:53:20 +10:00
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It's been great to see the adoption of the new spaCy v3, which introduced It's been great to see the adoption of the new spaCy v3, which introduced
[transformer-based](/usage/embeddings-transformers) pipelines, a new [transformer-based](/usage/embeddings-transformers) pipelines, a new
[config and training system](/usage/training) for reproducible experiments, a [config and training system](/usage/training) for reproducible experiments,
new [projects system](/usage/projects) for end-to-end workflows, and many [projects](/usage/projects) for end-to-end workflows, and many
[other features](/usage/v3). Version 3.1 adds a bunch of new features on top of [other features](/usage/v3). Version 3.1 adds more on top of it, including the
it, including the ability to use predicted annotations during training, a new ability to use predicted annotations during training, a new `SpanCategorizer`
`SpanCategorizer` component for predicting arbitrary and potentially overlapping component for predicting arbitrary and potentially overlapping spans, support
spans, support for partial incorrect annotations in the entity recognizer, new for partial incorrect annotations in the entity recognizer, new trained
trained pipelines for Catalan and Danish, as well as many other bug fixes and pipelines for Catalan and Danish, as well as many bug fixes and improvements.
improvements.
### Using predicted annotations during training {#predicted-annotations-training} ### Using predicted annotations during training {#predicted-annotations-training}