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Tabular Data - 11.6 KB - 1 Variables, 66 Observations - UNF:6:cb/rSmI16sEC7PzTgwRkZQ==
Dataset
Jul 20, 2020 - MeDo project
Chahinian, Nanée; Bonnabaud La Bruyère, Thierry; Delenne, Carole; Frontini, Francesca; Panckhurst, Rachel; Roche, Mathieu; Sautot, Lucile; Teisseire, Maguelonne, 2020, "Guide d'annotation du projet MeDo", https://doi.org/10.23708/DAAKF1, DataSuds, V1
Ce document a été créé pour clarifier les règles d'annotation utilisées dans le cadre du projet MeDo. Il a pour objectif de guider les annotateurs dans le choix des bonnes «étiquettes» pour annoter les textes. This document has been created to clarify the annotation rules used wi...
Adobe PDF - 541.0 KB - MD5: f420b33cbf2703dcf06e741e8cf110ed
Documentation
Guide d'annotation du projet MeDo. Annotation guide of the MeDo project.
Unknown - 6.0 KB - MD5: af64e62cf5ec7b98daff0875f68c912a
Références
Adobe PDF - 22.4 KB - MD5: 4e0a5554600c9fa2aef40e70c342c2a5
Figure 2
PNG Image - 323.7 KB - MD5: 8cdb10dda3bbed08efacd0eeece8d540
Figure 1a
PNG Image - 68.2 KB - MD5: a190b6cf86b36b036cd91b0a26bc207e
Figure 1b
LaTeX - 43.0 KB - MD5: a8ad8e579c44f7e83f8b90db2e48e2bf
Guide d'annotation du projet MeDo, version source au format LaTeX
MeDo project(Univ. Montpellier, CNRS, IRD, Univ. Paul-Valery Montpellier 3, AgroParisTech, CIRAD, INRAE, Berger-Levrault)
MeDo project logo
Jul 6, 2020UMR HydroSciences Montpellier
Megadata, Linked Data and Data Mining for Wastewater Networks MeDo project aims to use Web big data for learning about geometry and history of wastewater networks, by combining different data mining techniques and multiplying analysed sources. The improved knowledge will lead to...
LMI PathoBios(INERA, IRD)
LMI PathoBios logo
Jul 1, 2020
Laboratoire Mixte International PathoBios Le LMI PathoBios, Observatoire des Agents Phytopathogènes en Afrique de l’Ouest : biodiversité et biosécurité, formalise le partenariat de long-terme existant entre l’INERA au Burkina Faso et l’IRD en France dans le domaine de la protecti...
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