SIDRES : A Novel Annotation Tool For The Automatic Detection of Semantic Entities

Julieta Murata, Rémy Carrette, Pierre Jourlin


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.
Anthology ID:
2021.jeptalnrecital-demo.5
Volume:
Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 3 : Démonstrations
Month:
6
Year:
2021
Address:
Lille, France
Editors:
Pascal Denis, Natalia Grabar, Amel Fraisse, Rémi Cardon, Bernard Jacquemin, Eric Kergosien, Antonio Balvet
Venue:
JEP/TALN/RECITAL
SIG:
Publisher:
ATALA
Note:
Pages:
15–17
Language:
URL:
https://aclanthology.org/2021.jeptalnrecital-demo.5
DOI:
Bibkey:
Cite (ACL):
Julieta Murata, Rémy Carrette, and Pierre Jourlin. 2021. SIDRES : A Novel Annotation Tool For The Automatic Detection of Semantic Entities. In Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 3 : Démonstrations, pages 15–17, Lille, France. ATALA.
Cite (Informal):
SIDRES : A Novel Annotation Tool For The Automatic Detection of Semantic Entities (Murata et al., JEP/TALN/RECITAL 2021)
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PDF:
https://aclanthology.org/2021.jeptalnrecital-demo.5.pdf