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

Domain:

natural language processing

Record type:

papersoftware
Creator:
MurCarJou
Editor:
SATAviLabDen
Publisher:
CCSDATA
Host:avatar
International audience 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.

Visit

hal.science

Tasks

information extractionnamed entity recognition

Tags

medical reportsannotationlocally ambiguous grammar[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]

Licenses

info:eu-repo/semantics/OpenAccess

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