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Fix docs consistency [ci skip]
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@ -140,6 +140,7 @@ Evaluate a model's pipeline components.
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| `batch_size` | int | The batch size to use. |
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| `batch_size` | int | The batch size to use. |
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| `scorer` | `Scorer` | Optional [`Scorer`](/api/scorer) to use. If not passed in, a new one will be created. |
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| `scorer` | `Scorer` | Optional [`Scorer`](/api/scorer) to use. If not passed in, a new one will be created. |
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| `component_cfg` <Tag variant="new">2.1</Tag> | dict | Config parameters for specific pipeline components, keyed by component name. |
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| `component_cfg` <Tag variant="new">2.1</Tag> | dict | Config parameters for specific pipeline components, keyed by component name. |
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| **RETURNS** | Scorer | The scorer containing the evaluation scores. |
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## Language.begin_training {#begin_training tag="method"}
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## Language.begin_training {#begin_training tag="method"}
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@ -576,11 +576,11 @@ import DisplacyEntHtml from 'images/displacy-ent2.html'
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## Entity Linking {#entity-linking}
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## Entity Linking {#entity-linking}
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To ground the named entities into the "real-world", spaCy provides functionality
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To ground the named entities into the "real world", spaCy provides functionality
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to perform entity linking, which resolves a textual entity to a unique
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to perform entity linking, which resolves a textual entity to a unique
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identifier from a knowledge base (KB).
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identifier from a knowledge base (KB). The
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[processing scripts](https://github.com/explosion/spaCy/tree/master/bin/wiki_entity_linking)
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The default model assigns WikiData identifiers, but you can create your own
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we provide use WikiData identifiers, but you can create your own
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[`KnowledgeBase`](/api/kb) and
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[`KnowledgeBase`](/api/kb) and
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[train a new Entity Linking model](/usage/training#entity-linker) using that
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[train a new Entity Linking model](/usage/training#entity-linker) using that
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custom-made KB.
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custom-made KB.
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