diff --git a/website/docs/api/language.md b/website/docs/api/language.md index 254ad8fb1..c44339ff5 100644 --- a/website/docs/api/language.md +++ b/website/docs/api/language.md @@ -140,6 +140,7 @@ Evaluate a model's pipeline components. | `batch_size` | int | The batch size to use. | | `scorer` | `Scorer` | Optional [`Scorer`](/api/scorer) to use. If not passed in, a new one will be created. | | `component_cfg` 2.1 | dict | Config parameters for specific pipeline components, keyed by component name. | +| **RETURNS** | Scorer | The scorer containing the evaluation scores. | ## Language.begin_training {#begin_training tag="method"} diff --git a/website/docs/usage/linguistic-features.md b/website/docs/usage/linguistic-features.md index 7549a3985..4128fa73f 100644 --- a/website/docs/usage/linguistic-features.md +++ b/website/docs/usage/linguistic-features.md @@ -576,11 +576,11 @@ import DisplacyEntHtml from 'images/displacy-ent2.html' ## Entity Linking {#entity-linking} -To ground the named entities into the "real-world", spaCy provides functionality +To ground the named entities into the "real world", spaCy provides functionality to perform entity linking, which resolves a textual entity to a unique -identifier from a knowledge base (KB). - -The default model assigns WikiData identifiers, but you can create your own +identifier from a knowledge base (KB). The +[processing scripts](https://github.com/explosion/spaCy/tree/master/bin/wiki_entity_linking) +we provide use WikiData identifiers, but you can create your own [`KnowledgeBase`](/api/kb) and [train a new Entity Linking model](/usage/training#entity-linker) using that custom-made KB.