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Fix EL factory name.

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This commit is contained in:
Raphael Mitsch 2023-10-11 14:04:16 +02:00
parent 4dd27e986d
commit fa3645d387
2 changed files with 4 additions and 4 deletions
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6
website/docs/api/large-language-models.mdx
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@ -325,7 +325,7 @@ ideally provide more context for entities stored in the KB.
have to provide a trained EL model, merely its default (or custom) candidate
selection capabilities.
#### spacy.EL.v1 {id="el-v1"}
#### spacy.EntityLinker.v1 {id="el-v1"}
Supports zero- and few-shot prompting.
@ -355,8 +355,8 @@ Supports zero- and few-shot prompting.
##### spacy.CandidateSelector.v1 {id="candidate-selector-v1"}
`spacy.CandidateSelector.v1` is an implementation of the `CandidateSelector`
protocol required by [`spacy.EL.v1`](#el-v1). The built-in candidate selector
method leverages a spaCy pipeline with an entity linking component. The
protocol required by [`spacy.EntityLinker.v1`](#el-v1). The built-in candidate
selector method leverages a spaCy pipeline with an entity linking component. The
pipeline's EL component's candidate selection capabilities are used to select
the most likely entity candidates for the specified mentions.

2
website/docs/usage/large-language-models.mdx
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@ -357,7 +357,7 @@ evaluate the component.
| Component | Description |
| ----------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------- |
| [`spacy.EL.v1`](/api/large-language-models#summarization-v1) | The entity linking task prompts the model to link all entities in a given text to entries in a knowledge base. |
| [`spacy.EntityLinker.v1`](/api/large-language-models#summarization-v1) | The entity linking task prompts the model to link all entities in a given text to entries in a knowledge base. |
| [`spacy.Summarization.v1`](/api/large-language-models#summarization-v1) | The summarization task prompts the model for a concise summary of the provided text. |
| [`spacy.NER.v3`](/api/large-language-models#ner-v3) | Implements Chain-of-Thought reasoning for NER extraction - obtains higher accuracy than v1 or v2. |
| [`spacy.NER.v2`](/api/large-language-models#ner-v2) | Builds on v1 and additionally supports defining the provided labels with explicit descriptions. |