@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://aclanthology.org/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."
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<abstract>We present a novel annotation tool called SIDRES (Système Interactif de Détection et de Reconnaissance d‘Entités Sémantiques [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.</abstract>
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%0 Conference Proceedings
%T SIDRES : A Novel Annotation Tool For The Automatic Detection of Semantic Entities
%A Murata, Julieta
%A Carrette, Rémy
%A Jourlin, Pierre
%Y Denis, Pascal
%Y Grabar, Natalia
%Y Fraisse, Amel
%Y Cardon, Rémi
%Y Jacquemin, Bernard
%Y Kergosien, Eric
%Y Balvet, Antonio
%S Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 3 : Démonstrations
%D 2021
%8 June
%I ATALA
%C Lille, France
%F murata-etal-2021-sidres
%X We present a novel annotation tool called SIDRES (Système Interactif de Détection et de Reconnaissance d‘Entités Sémantiques [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.
%U https://aclanthology.org/2021.jeptalnrecital-demo.5/
%P 15-17
Markdown (Informal)
[SIDRES : A Novel Annotation Tool For The Automatic Detection of Semantic Entities](https://aclanthology.org/2021.jeptalnrecital-demo.5/) (Murata et al., JEP/TALN/RECITAL 2021)
ACL