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Formatting and preliminary intro [ci skip]

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Ines Montani 2021-06-24 20:32:23 +10:00
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website/docs/usage/v3-1.md
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@ -8,7 +8,16 @@ menu:
## New Features {#features hidden="true"}
<!-- TODO: intro -->
It's been great to see the adoption of the new spaCy v3, which introduced
[transformer-based](/usage/embeddings-transformers) pipelines, a new
[config and training system](/usage/training) for reproducible experiments, a
new [projects system](/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
it, including the ability to use predicted annotations during training, a new
`SpanCategorizer` component for predicting arbitrary and potentially overlapping
spans, support for partial incorrect annotations in the entity recognizer, new
trained pipelines for Catalan and Danish, as well as many other bug fixes and
improvements.
### Using predicted annotations during training {#predicted-annotations-training}
@ -115,10 +124,10 @@ See the [models directory](/models) for an overview of all available trained
pipelines and the [training guide](/usage/training) for details on how to train
your own.
Thanks to Carlos Rodríguez Penagos and the
[Barcelona Supercomputing Center](https://temu.bsc.es/) for their contributions
for Catalan and to Kenneth Enevoldsen for Danish. For additional Danish
pipelines, check out [DaCy](https://github.com/KennethEnevoldsen/DaCy).
> Thanks to Carlos Rodríguez Penagos and the
> [Barcelona Supercomputing Center](https://temu.bsc.es/) for their
> contributions for Catalan and to Kenneth Enevoldsen for Danish. For additional
> Danish pipelines, check out [DaCy](https://github.com/KennethEnevoldsen/DaCy).
| Package | Language | UPOS | Parser LAS |  NER F |
| ------------------------------------------------- | -------- | ---: | ---------: | -----: |