COVID[source]

The eds.covid pipeline component detects mentions of COVID19.

Examples

import edsnlp, edsnlp.pipes as eds

nlp = edsnlp.blank("eds")
nlp.add_pipe(eds.covid())

text = "Le patient est admis pour une infection au coronavirus."

doc = nlp(text)

doc.ents
# Out: (infection au coronavirus,)

Parameters

PARAMETER	DESCRIPTION
`nlp`	spaCy `Language` object. TYPE: `PipelineProtocol`
`name`	The name of the pipe TYPE: `str` DEFAULT: `'covid'`
`attr`	Attribute to match on, eg `TEXT`, `NORM`, etc. TYPE: `Union[str, Dict[str, str]]` DEFAULT: `'LOWER'`
`ignore_excluded`	Whether to skip excluded tokens during matching. TYPE: `bool` DEFAULT: `False`
`ignore_space_tokens`	Whether to skip space tokens during matching. TYPE: `bool` DEFAULT: `False`
`patterns`	The regex pattern to use TYPE: `List[str]` DEFAULT: `patterns`
`label`	Label to use for matches TYPE: `str` DEFAULT: `'covid'`
`span_setter`	How to set matches on the doc TYPE: `SpanSetterArg` DEFAULT: `{'ents': True, 'covid': True}`

RETURNS	DESCRIPTION
`GenericMatcher`

Authors and citation

The eds.covid pipeline was developed by AP-HP's Data Science team.