CITATION.cff

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cff-version: 1.2.0
title: >-
  EDS-PDF: Smart text extraction from PDF documents
message: If you use EDS-PDF, please cite us as below.
type: software
authors:
  - given-names: Basile
    family-names: Dura
    orcid: "https://orcid.org/0000-0002-8315-4050"
    affiliation: Assistance Publique – Hôpitaux de Paris
  - given-names: Perceval
    family-names: Wajsburt
    affiliation: Assistance Publique – Hôpitaux de Paris
  - given-names: Alice
    family-names: Calliger
    affiliation: Assistance Publique – Hôpitaux de Paris
  - given-names: Christel
    family-names: Gérardin
    affiliation: Assistance Publique – Hôpitaux de Paris
  - given-names: Romain
    family-names: Bey
    affiliation: Assistance Publique – Hôpitaux de Paris
repository-code: "https://github.com/aphp/edspdf"
url: "https://github.com/aphp/edspdf"
abstract: >-
  EDS-PDF provides a modular and extendable framework to extract text from PDF documents.
keywords:
  - PDF
  - extraction
  - python
  - NLP
license: BSD-3-Clause
year: 2022
doi: 10.5281/zenodo.6902977