CITATION.cff

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cff-version: 1.2.0
title: >-
  EDS-NLP: efficient information extraction from
  French clinical notes
message: If you use EDS-NLP, please cite us as below.
type: software
authors:
  - given-names: Perceval
    family-names: Wajsburt
    affiliation: Assistance Publique – Hôpitaux de Paris
  - given-names: Thomas
    family-names: Petit-Jean
    affiliation: Assistance Publique – Hôpitaux de Paris
  - given-names: Basile
    family-names: Dura
    orcid: "https://orcid.org/0000-0002-8315-4050"
    affiliation: Assistance Publique – Hôpitaux de Paris
  - given-names: Ariel
    family-names: Cohen
    orcid: "https://orcid.org/0000-0002-2550-9773"
    affiliation: Assistance Publique – Hôpitaux de Paris
  - given-names: Charline
    family-names: Jean
    affiliation: Assistance Publique – Hôpitaux de Paris
  - given-names: Romain
    family-names: Bey
    affiliation: Assistance Publique – Hôpitaux de Paris
repository-code: "https://github.com/aphp/edsnlp"
url: "http://aphp.github.io/edsnlp"
abstract: >-
  EDS-NLP provides a set of spaCy components that are
  used to extract information from clinical notes
  written in French.
keywords:
  - NLP
  - clinical
license: BSD-3-Clause
year: 2022
doi: 10.5281/zenodo.6424993