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Metadata Source: DataSuds

7,361 to 7,370 of 8,122 Results

Gold Standard du projet MeDo Jul 22, 2020 - MeDo project Chahinian, Nanée; Bonnabaud La Bruyère, Thierry; Conrad, Serge; Delenne, Carole; Frontini, Francesca; Panckhurst, Rachel; Roche, Mathieu; Sautot, Lucile; Deruelle, Laurent; Teisseire, Maguelonne, 2020, "Gold Standard du projet MeDo", https://doi.org/10.23708/H0VXH0, DataSuds, V1 Cet ensemble de données comporte les documents utilisés pour l’apprentissage des modules NER (Named Entity Recognition) du projet MeDo (http://webmedo.msem.univ-montp2.fr/?page_id=12). Les documents originaux ont été requêtés sur le web, convertis au format texte et nettoyés. Les...
MeDo_Ann.zip Jul 22, 2020 - Gold Standard du projet MeDo ZIP Archive - 354.7 KB - MD5: 83bd2bf16ec81e74b9347e8d37a1d5b9 Data Fichiers d'annotations créés avec le logiciel BRAT - Annotation files created using BRAT software.
MeDo_info.json Jul 22, 2020 - Gold Standard du projet MeDo JSON - 21.3 KB - MD5: 878f4bfbd4dafbd281816723965d1c0a Data Description des données - Data description
MeDo_keywords.txt Jul 22, 2020 - Gold Standard du projet MeDo Plain Text - 9.4 KB - MD5: 084d35d8abf82e3cc58271031e3f0523 Data Liste des mots clés - List of keywords
MeDo_LISEZ_MOI_READ_ME.rtf Jul 22, 2020 - Gold Standard du projet MeDo Rich Text Format - 3.7 KB - MD5: ebcba60c83744d977b7296b0060a89ff Documentation Informations utiles sur le jeu de données - Useful information on the dataset
MeDo_Text.zip Jul 22, 2020 - Gold Standard du projet MeDo ZIP Archive - 371.6 KB - MD5: 249109385427c43dbcbf9899f3298c1d Data Documents annotés anonymisés - Anonymized annotated documents.
Cathedral and lenticular mound soil properties in the Mule Hole long term observatory, Southern India. Jul 21, 2020 - UMR iEES-Paris Jouquet, P; Harit, A, 2020, "Cathedral and lenticular mound soil properties in the Mule Hole long term observatory, Southern India.", https://doi.org/10.23708/DCNDNZ, DataSuds, V1, UNF:6:cb/rSmI16sEC7PzTgwRkZQ== [fileUNF] This dataset has been collected thanks to the long-term partnership with Mahatma Gandhi University, India, which granted the permission for field access, and to the financial, scientific, technical, and/or logistical support of the M-TROPICS CZO. The dataset holds soil properties...
dataDynamicMounds.tab Jul 21, 2020 - Cathedral and lenticular mound soil properties in the Mule Hole long term observatory, Southern India. Tabular Data - 11.6 KB - 1 Variables, 66 Observations - UNF:6:cb/rSmI16sEC7PzTgwRkZQ== Dataset
Guide d'annotation du projet MeDo 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...
Annotation_Medo.pdf Jul 20, 2020 - Guide d'annotation du projet MeDo Adobe PDF - 541.0 KB - MD5: f420b33cbf2703dcf06e741e8cf110ed Documentation Guide d'annotation du projet MeDo. Annotation guide of the MeDo project.

Gold Standard du projet MeDo

Jul 22, 2020 - MeDo project

Chahinian, Nanée; Bonnabaud La Bruyère, Thierry; Conrad, Serge; Delenne, Carole; Frontini, Francesca; Panckhurst, Rachel; Roche, Mathieu; Sautot, Lucile; Deruelle, Laurent; Teisseire, Maguelonne, 2020, "Gold Standard du projet MeDo", https://doi.org/10.23708/H0VXH0, DataSuds, V1

Cet ensemble de données comporte les documents utilisés pour l’apprentissage des modules NER (Named Entity Recognition) du projet MeDo (http://webmedo.msem.univ-montp2.fr/?page_id=12). Les documents originaux ont été requêtés sur le web, convertis au format texte et nettoyés. Les...

MeDo_Ann.zip