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10 févr. 2021
Lentschat, Martin; Buche, Patrice; Menut, Luc, 2020, "TRANSMAT Gold Standard", https://doi.org/10.18167/DVN1/U7HK8J, CIRAD Dataverse, V3, UNF:6:D0te91j6BiKD23wqCty2/A== [fileUNF]
This dataset presents a Gold Standard of data annotated on documents from the Science Direct website. The entities annotated are the ones related to permeability n-Ary relations, as defined in the TRANSMAT Ontology (https://ico.iate.inra.fr/atWeb/, https://doi.org/10.15454/NK24ID...
21 déc. 2020
Roche, Mathieu, 2020, "COVID-19 and media dataset: Mining textual data according periods and countries (UK, Spain, France)", https://doi.org/10.18167/DVN1/ZUA8MF, CIRAD Dataverse, V2
These datasets contain a set of news articles in English, French and Spanish extracted from Medisys (i‧e. advanced search) according the following criteria: (1) Keywords (at least): COVID-19, ncov2019, cov2019, coronavirus; (2) Keywords (all words): masque (French), mask (English...
17 avr. 2020
Roche, Mathieu; Helmer, Thierry; Martin, Pierre; Chaminuka, Petronella; Dimitriou, Ioannis; Csorba, Adam; Lindsten, Agneta; Lundén, Tomas; Van Boheemen, Peter, 2020, "LEAP4FNSSA (WP3 - KMS): Terminology for KEOPS", https://doi.org/10.18167/DVN1/GQ8DPL, CIRAD Dataverse, V1, UNF:6:q+wkvuEpP3iSokRJHqL1qA== [fileUNF]
In order to highlight terminology to integrate in the LEAP4FNSSA KMS (Knowledge Management System) called KEOPS (Knowledge ExtractOr Pipeline System), a dedicated terminology to the LEAP4FNSSA project has been extracted with a text-mining tool (BioTex) from a corpus dealing with...
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