@inproceedings{murata-etal-2021-sidres,
    title = "{SIDRES} : A Novel Annotation Tool For The Automatic Detection of Semantic Entities",
    author = "Murata, Julieta  and
      Carrette, R{\'e}my  and
      Jourlin, Pierre",
    editor = "Denis, Pascal  and
      Grabar, Natalia  and
      Fraisse, Amel  and
      Cardon, R{\'e}mi  and
      Jacquemin, Bernard  and
      Kergosien, Eric  and
      Balvet, Antonio",
    booktitle = "Actes de la 28e Conf{\'e}rence sur le Traitement Automatique des Langues Naturelles. Volume 3 : D{\'e}monstrations",
    month = "6",
    year = "2021",
    address = "Lille, France",
    publisher = "ATALA",
    url = "https://preview.aclanthology.org/Add-Cong-Liu-Florida-Atlantic-University-author-id/2021.jeptalnrecital-demo.5/",
    pages = "15--17",
    abstract = "We present a novel annotation tool called SIDRES (Syst{\`e}me Interactif de D{\'e}tection et de Reconnaissance d`Entit{\'e}s S{\'e}mantiques [Interactive System for the Detection and Identification of Semantic Entities]). SIDRES provides an annotation environment for classifying text units through ad hoc categories. These categories can be coupled with contexts, so as to provide a means for the disambiguation of formally identical units assigned to different categories. SIDRES was developed as part of an industrial partnership between the LIA (Laboratoire d`Informatique d`Avignon [Research Institute of Informatics at the University of Avignon]) and a French company in the eHealth sector. This partnership was created within the framework of a technology-transfer project promoted by the SATT Sud-Est, whose core mission is bringing together industry and research institutions."
}