Gold Standard du projet MeDo

Version 1.0
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
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Description
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 fichiers ont été anonymisés en remplaçant les caractères ne correspondant pas aux annotations par des X. Les fichiers .txt correspondent aux fichiers anonymisés (encodage UTF-8).

L’annotation a été réalisée avec le logiciel Brat (http://brat.nlplab.org/index.html). Les fichiers .ann correspondent aux résultats de l’annotation manuelle sous Brat. Le guide d'annotation est aussi disponible au téléchargement (https://doi.org/10.23708/DAAKF1).

Les mots clés des requêtes, ainsi que les liens URL des documents originaux sont détaillés dans le fichier info.JSON joint à ce dépôt.
This dataset contains the documents used to train the NER (Named Entity Recognition) modules of the MeDo project (http://webmedo.msem.univ-montp2.fr/?page_id=228&lang=en).

The original documents have been scraped from the web, converted into text format and cleaned. The files were anonymized by replacing all characters not corresponding to the annotations by « x ». The .txt files correspond to the anonymized files (encoded in UTF-8).

The annotation was carried out under Brat (http://brat.nlplab.org/index.html). The .ann files correspond to the Brat outputs of the manual annotation. The annotation guide is also available (https://doi.org/10.23708/DAAKF1).

The keywords used for the queries and the URL links to the original documents are detailed in the accompanying info.JSON file.
Subject Computer and Information Science; Earth and Environmental Sciences
Keyword Computational Linguistics, Natural Language Processing, Text data mining, Wastewater, Eaux usées, Fouille de données, Traitement du Langage Naturel, Hydrologie, Linguistique-Informatique
Related Publication Bonnabaud La Bruyère Thierry, Chahinian Nanée, Delenne Carole, Deruelle Laurent, Derras Mustapha, Frontini Francesca, Panckhurst Rachel, Roche Mathieu, Sautot Lucile, Teisseire Maguelonne. 2018. Mégadonnées, données liées et fouille de données pour les réseaux d’assainissement. In : Actes de l’Atelier ‘Humanités Numériques Spatialisées’ (HumaNS’2018), Brando Carmen (ed.), Frontini Francesca (ed.), Roche Mathieu (ed.), Montpellier : SAGEO 2018, 15-19. Atelier Humanités Numériques Spatialisées (HumaNS’2018), Montpellier, France, 6 Novembre 2018.
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1 to 5 of 5 Files
MeDo_Ann.zip
ZIP Archive - 354.7 KB
Published Jul 22, 2020
19 Downloads
MD5: 83bd2bf16ec81e74b9347e8d37a1d5b9
Fichiers d'annotations créés avec le logiciel BRAT - Annotation files created using BRAT software.
Data
MeDo_info.json
JSON - 21.3 KB
Published Jul 22, 2020
19 Downloads
MD5: 878f4bfbd4dafbd281816723965d1c0a
Description des données - Data description
Data
MeDo_keywords.txt
Plain Text - 9.4 KB
Published Jul 22, 2020
18 Downloads
MD5: 084d35d8abf82e3cc58271031e3f0523
Liste des mots clés - List of keywords
Data
MeDo_LISEZ_MOI_READ_ME.rtf
Rich Text Format - 3.7 KB
Published Jul 22, 2020
17 Downloads
MD5: ebcba60c83744d977b7296b0060a89ff
Informations utiles sur le jeu de données - Useful information on the dataset
Documentation
MeDo_Text.zip
ZIP Archive - 371.6 KB
Published Jul 22, 2020
18 Downloads
MD5: 249109385427c43dbcbf9899f3298c1d
Documents annotés anonymisés - Anonymized annotated documents.
Data
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