Named Entity Recognition Components

We provide several Named Entity Recognition (NER) components.
Named Entity Recognition is the task of identifying short relevant spans of text, named entities, and classifying them into pre-defined categories.
In the case of clinical documents, these entities can be scores, disorders, behaviors, codes, dates, quantities, etc.

Span setters: where are stored extracted entities ? {: #edsnlp.pipes.base.SpanSetterArg }

A component assigns entities to a document by adding them to the doc.ents or doc.spans[group] attributes. doc.ents only supports non overlapping
entities, therefore, if two entities overlap, the longest one will be kept. doc.spans[group] on the other hand, can contain overlapping entities.
To control where entities are added, you can use the span_setter argument in any of these component.

::: edsnlp.pipes.base.SpanSetterArg
options:
heading_level: 2
show_bases: false
show_source: false
only_class_level: true

Available components