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Update details and add example [ci skip]

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Ines Montani 2021-06-22 17:51:03 +10:00
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website/docs/usage/v3-1.md
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@ -72,11 +72,27 @@ annotations can be added via the [`Doc.spans`](/api/doc#spans) in the training
data under the key defined as
[`incorrect_spans_key`](/api/entityrecognizer#init) in the component config.
```python
train_doc = nlp.make_doc("Barack Obama was born in Hawaii.")
# The doc.spans key can be defined in the config
train_doc.spans["incorrect_spans"] = [
Span(doc, 0, 2, label="ORG"),
Span(doc, 5, 6, label="PRODUCT")
]
```
<!-- TODO: more details and/or example project? -->
### New pipeline packages for Catalan and Danish {#pipeline-packages}
<!-- TODO: intro and update with final numbers -->
spaCy v3.1 adds 5 new pipeline packages, including a new core family for Catalan
and a new transformer-based pipeline for Danish using the
[`danish-bert-botxo`](http://huggingface.co/Maltehb/danish-bert-botxo) weights.
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.
<!-- TODO: thank contributors and update with final numbers -->
| Package | Language | Tagger | Parser |  NER |
| ------------------------------------------------- | -------- | -----: | -----: | ---: |