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JSON - 48,5 KB - MD5: 27ec57e49bdf5ea2dcfe0d93714dfbba
8 sept. 2017
Zenasni, Sarah; Kergosien, Eric; Roche, Mathieu; Teisseire, Maguelonne, 2017, "A corpus of 1000 authentic SMS in French with spatial labels", https://doi.org/10.18167/DVN1/0ZGJRC, CIRAD Dataverse, V2
Extract of 1000 authentic French SMS from a corpus of more than 88000 SMS (http://88milsms.huma-num.fr/). Spatial entities are tagged (with label). First, an automatic labelling approach based on text-mining techniques is applied in order to obtain the first corpus ("corpus1_auto...
XML - 190,4 KB - MD5: ecf6b7f5d4e8e1407c035825f5522eaf
XML - 171,0 KB - MD5: f3e27d528c258fe80d869a9b5eb47f3f
5 sept. 2017
Roche, Mathieu; Teisseire, Maguelonne; Shrivastava, Gaurav, 2017, "Valorcarn-TETIS: Terms extracted with Fastr (free extraction)", https://doi.org/10.18167/DVN1/FC2YXC, CIRAD Dataverse, V1
Text-Mining: Terms extracted with FASTR tool (free extraction) from "Valorcarn Corpus" (http://dx.doi.org/10.18167/DVN1/7YTQGQ). -- Valorcarn Project (2015-2017) [project supported by GloFoodS program (INRA-Cirad)]. Topic: Mining of scientific documents for identification of proc...
JSON - 7,8 KB - MD5: 4467e66d804943908ebfede8c6a18f28
5 sept. 2017
Roche, Mathieu; Teisseire, Maguelonne; Shrivastava, Gaurav, 2017, "Valorcarn-TETIS: corpus", https://doi.org/10.18167/DVN1/7YTQGQ, CIRAD Dataverse, V1
Valorcarn Project (2015-2017) [project supported by GloFoodS program (INRA-Cirad)]. Mining of scientific documents for identification of process that enables to reduce losses and waste.
5 sept. 2017 - Valorcarn-TETIS: corpus
Plain Text - 46,8 KB - MD5: ba9c361ce4d5ff45ea5596fcc73978b9
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