medkit.text.spacy.doc_pipeline

Classes

SpacyDocPipeline

DocPipeline to obtain annotations created using spacy.

Module Contents

class medkit.text.spacy.doc_pipeline.SpacyDocPipeline(nlp: spacy.Language, medkit_labels_anns: list[str] | None = None, medkit_attrs: list[str] | None = None, spacy_entities: list[str] | None = None, spacy_span_groups: list[str] | None = None, spacy_attrs: list[str] | None = None, medkit_attribute_factories: dict[str, Callable[[spacy.tokens.Span, str], medkit.core.Attribute]] | None = None, name: str | None = None, uid: str | None = None)

Bases: medkit.core.DocOperation

DocPipeline to obtain annotations created using spacy.

init_args

nlp

medkit_labels_anns

medkit_attrs

spacy_entities

spacy_span_groups

spacy_attrs

medkit_attribute_factories

run(medkit_docs: list[medkit.core.text.TextDocument]) → None

Run a spacy pipeline on a list of medkit documents.

Each medkit document is converted to spacy document (Doc object), with the selected annotations and attributes. Then, the spacy pipeline is executed and finally, the new annotations and attributes are converted into medkit annotations.

Parameters:

medkit_docslist of TextDocument

List of TextDocuments on which to run the pipeline