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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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@ -3882,6 +3882,48 @@
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"twitter": "_knrd"
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"twitter": "_knrd"
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},
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},
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"category": ["scientific", "standalone"]
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"category": ["scientific", "standalone"]
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},
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{
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"id": "edsnlp",
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"title": "EDS-NLP",
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"slogan": "spaCy components to extract information from clinical notes written in French.",
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"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/)!",
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"github": "aphp/edsnlp",
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"pip": "edsnlp",
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"code_example": [
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"import spacy",
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"",
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"nlp = spacy.blank(\"fr\")",
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"",
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"terms = dict(",
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" covid=[\"covid\", \"coronavirus\"],",
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")",
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"",
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"# Sentencizer component, needed for negation detection",
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"nlp.add_pipe(\"eds.sentences\")",
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"# Matcher component",
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"nlp.add_pipe(\"eds.matcher\", config=dict(terms=terms))",
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"# Negation detection",
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"nlp.add_pipe(\"eds.negation\")",
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"",
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"# Process your text in one call !",
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"doc = nlp(\"Le patient est atteint de covid\")",
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"",
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"doc.ents",
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"# Out: (covid,)",
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"",
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"doc.ents[0]._.negation",
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"# Out: False"
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],
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"code_language": "python",
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"url": "https://aphp.github.io/edsnlp/",
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"author": "AP-HP",
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"author_links": {
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"github": "aphp",
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"website": "https://github.com/aphp"
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},
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"category": ["biomedical", "scientific", "research", "pipeline"],
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"tags": ["clinical"]
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}
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}
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],
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],
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