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Add docstring for entity linker factory
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@ -62,6 +62,16 @@ def make_entity_linker(
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incl_prior: bool,
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incl_prior: bool,
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incl_context: bool,
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incl_context: bool,
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):
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):
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"""Construct an EntityLinker component.
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model (Model[List[Doc], Floats2d]): A model that learns document vector
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representations. Given a batch of Doc objects, it should return a single
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array, with one row per item in the batch.
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kb (KnowledgeBase): The knowledge-base to link entities to.
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labels_discard (Iterable[str]): NER labels that will automatically get a "NIL" prediction.
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incl_prior (bool): Whether or not to include prior probabilities from the KB in the model.
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incl_context (bool): Whether or not to include the local context in the model.
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"""
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return EntityLinker(
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return EntityLinker(
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nlp.vocab,
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nlp.vocab,
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model,
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model,
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