docs: add EDS-NLP to spaCy universe (#10489)

* docs: add EDS-NLP to spaCy universe

* fix: remove "standalone" tag for EDS-NLP

Co-authored-by: Basile Dura <basile.dura-ext@aphp.fr>
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Basile Dura 2022-03-21 11:03:39 +01:00 committed by GitHub
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@ -3882,6 +3882,48 @@
"twitter": "_knrd"
},
"category": ["scientific", "standalone"]
},
{
"id": "edsnlp",
"title": "EDS-NLP",
"slogan": "spaCy components to extract information from clinical notes written in French.",
"description": "EDS-NLP provides a set of rule-based spaCy components to extract information for French clinical notes. It also features _qualifier_ pipelines that detect negations, speculations and family context, among other modalities. Check out the [demo](https://aphp.github.io/edsnlp/demo/)!",
"github": "aphp/edsnlp",
"pip": "edsnlp",
"code_example": [
"import spacy",
"",
"nlp = spacy.blank(\"fr\")",
"",
"terms = dict(",
" covid=[\"covid\", \"coronavirus\"],",
")",
"",
"# Sentencizer component, needed for negation detection",
"nlp.add_pipe(\"eds.sentences\")",
"# Matcher component",
"nlp.add_pipe(\"eds.matcher\", config=dict(terms=terms))",
"# Negation detection",
"nlp.add_pipe(\"eds.negation\")",
"",
"# Process your text in one call !",
"doc = nlp(\"Le patient est atteint de covid\")",
"",
"doc.ents",
"# Out: (covid,)",
"",
"doc.ents[0]._.negation",
"# Out: False"
],
"code_language": "python",
"url": "https://aphp.github.io/edsnlp/",
"author": "AP-HP",
"author_links": {
"github": "aphp",
"website": "https://github.com/aphp"
},
"category": ["biomedical", "scientific", "research", "pipeline"],
"tags": ["clinical"]
}
],