Food packaging permeability and composition dataset dedicated to text-mining
This dataset is composed of symbolic and quantitative entities concerning food packaging composition and gas permeability. It was created from 50 scientific articles in English registered in html format from several international journals on the ScienceDirect website. The files were annotated independently by three experts on a WebAnno server. The aim of the annotation task was to recognize all entities related to packaging permeability measures and packaging composition. This annotation task is driven by an Ontological and Terminological Resource (OTR). An annotation guideline was designed in a collective and iterative approach involving the annotators. This dataset can be used to train or evaluate natural language processing (NLP) approaches in experimental fields, such as specialized entity recognition (e.g. terms and variations, units of measure, complex numerical values) or sentence level binary relation (e.g. value to unit, term to acronym).
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Format: | article biblioteca |
Language: | eng |
Subjects: | C30 - Documentation et information, U10 - Informatique, mathématiques et statistiques, Q80 - Conditionnement, fouille de textes, fouille de données, ontologie, analyse de données, conditionnement des aliments, perméabilité, http://aims.fao.org/aos/agrovoc/c_dca12b72, http://aims.fao.org/aos/agrovoc/c_eb9cea5d, http://aims.fao.org/aos/agrovoc/c_49845, http://aims.fao.org/aos/agrovoc/c_15962, http://aims.fao.org/aos/agrovoc/c_dda2fc32, http://aims.fao.org/aos/agrovoc/c_5718, |
Online Access: | http://agritrop.cirad.fr/598345/ http://agritrop.cirad.fr/598345/1/Lentschat_et_al_DIB2021.pdf |
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dig-cirad-fr-5983452024-01-29T03:32:46Z http://agritrop.cirad.fr/598345/ http://agritrop.cirad.fr/598345/ Food packaging permeability and composition dataset dedicated to text-mining. Lentschat Martin, Buche Patrice, Dibie-Barthélemy Juliette, Menut Luc, Roche Mathieu. 2021. Data in Brief, 36:107135, 6 p.https://doi.org/10.1016/j.dib.2021.107135 <https://doi.org/10.1016/j.dib.2021.107135> Food packaging permeability and composition dataset dedicated to text-mining Lentschat, Martin Buche, Patrice Dibie-Barthélemy, Juliette Menut, Luc Roche, Mathieu eng 2021 Data in Brief C30 - Documentation et information U10 - Informatique, mathématiques et statistiques Q80 - Conditionnement fouille de textes fouille de données ontologie analyse de données conditionnement des aliments perméabilité http://aims.fao.org/aos/agrovoc/c_dca12b72 http://aims.fao.org/aos/agrovoc/c_eb9cea5d http://aims.fao.org/aos/agrovoc/c_49845 http://aims.fao.org/aos/agrovoc/c_15962 http://aims.fao.org/aos/agrovoc/c_dda2fc32 http://aims.fao.org/aos/agrovoc/c_5718 This dataset is composed of symbolic and quantitative entities concerning food packaging composition and gas permeability. It was created from 50 scientific articles in English registered in html format from several international journals on the ScienceDirect website. The files were annotated independently by three experts on a WebAnno server. The aim of the annotation task was to recognize all entities related to packaging permeability measures and packaging composition. This annotation task is driven by an Ontological and Terminological Resource (OTR). An annotation guideline was designed in a collective and iterative approach involving the annotators. This dataset can be used to train or evaluate natural language processing (NLP) approaches in experimental fields, such as specialized entity recognition (e.g. terms and variations, units of measure, complex numerical values) or sentence level binary relation (e.g. value to unit, term to acronym). article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/598345/1/Lentschat_et_al_DIB2021.pdf text cc_by info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ https://doi.org/10.1016/j.dib.2021.107135 10.1016/j.dib.2021.107135 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.dib.2021.107135 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1016/j.dib.2021.107135 info:eu-repo/semantics/reference/purl/https://doi.org/10.18167/DVN1/U7HK8J |
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C30 - Documentation et information U10 - Informatique, mathématiques et statistiques Q80 - Conditionnement fouille de textes fouille de données ontologie analyse de données conditionnement des aliments perméabilité http://aims.fao.org/aos/agrovoc/c_dca12b72 http://aims.fao.org/aos/agrovoc/c_eb9cea5d http://aims.fao.org/aos/agrovoc/c_49845 http://aims.fao.org/aos/agrovoc/c_15962 http://aims.fao.org/aos/agrovoc/c_dda2fc32 http://aims.fao.org/aos/agrovoc/c_5718 C30 - Documentation et information U10 - Informatique, mathématiques et statistiques Q80 - Conditionnement fouille de textes fouille de données ontologie analyse de données conditionnement des aliments perméabilité http://aims.fao.org/aos/agrovoc/c_dca12b72 http://aims.fao.org/aos/agrovoc/c_eb9cea5d http://aims.fao.org/aos/agrovoc/c_49845 http://aims.fao.org/aos/agrovoc/c_15962 http://aims.fao.org/aos/agrovoc/c_dda2fc32 http://aims.fao.org/aos/agrovoc/c_5718 |
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C30 - Documentation et information U10 - Informatique, mathématiques et statistiques Q80 - Conditionnement fouille de textes fouille de données ontologie analyse de données conditionnement des aliments perméabilité http://aims.fao.org/aos/agrovoc/c_dca12b72 http://aims.fao.org/aos/agrovoc/c_eb9cea5d http://aims.fao.org/aos/agrovoc/c_49845 http://aims.fao.org/aos/agrovoc/c_15962 http://aims.fao.org/aos/agrovoc/c_dda2fc32 http://aims.fao.org/aos/agrovoc/c_5718 C30 - Documentation et information U10 - Informatique, mathématiques et statistiques Q80 - Conditionnement fouille de textes fouille de données ontologie analyse de données conditionnement des aliments perméabilité http://aims.fao.org/aos/agrovoc/c_dca12b72 http://aims.fao.org/aos/agrovoc/c_eb9cea5d http://aims.fao.org/aos/agrovoc/c_49845 http://aims.fao.org/aos/agrovoc/c_15962 http://aims.fao.org/aos/agrovoc/c_dda2fc32 http://aims.fao.org/aos/agrovoc/c_5718 Lentschat, Martin Buche, Patrice Dibie-Barthélemy, Juliette Menut, Luc Roche, Mathieu Food packaging permeability and composition dataset dedicated to text-mining |
description |
This dataset is composed of symbolic and quantitative entities concerning food packaging composition and gas permeability. It was created from 50 scientific articles in English registered in html format from several international journals on the ScienceDirect website. The files were annotated independently by three experts on a WebAnno server. The aim of the annotation task was to recognize all entities related to packaging permeability measures and packaging composition. This annotation task is driven by an Ontological and Terminological Resource (OTR). An annotation guideline was designed in a collective and iterative approach involving the annotators. This dataset can be used to train or evaluate natural language processing (NLP) approaches in experimental fields, such as specialized entity recognition (e.g. terms and variations, units of measure, complex numerical values) or sentence level binary relation (e.g. value to unit, term to acronym). |
format |
article |
topic_facet |
C30 - Documentation et information U10 - Informatique, mathématiques et statistiques Q80 - Conditionnement fouille de textes fouille de données ontologie analyse de données conditionnement des aliments perméabilité http://aims.fao.org/aos/agrovoc/c_dca12b72 http://aims.fao.org/aos/agrovoc/c_eb9cea5d http://aims.fao.org/aos/agrovoc/c_49845 http://aims.fao.org/aos/agrovoc/c_15962 http://aims.fao.org/aos/agrovoc/c_dda2fc32 http://aims.fao.org/aos/agrovoc/c_5718 |
author |
Lentschat, Martin Buche, Patrice Dibie-Barthélemy, Juliette Menut, Luc Roche, Mathieu |
author_facet |
Lentschat, Martin Buche, Patrice Dibie-Barthélemy, Juliette Menut, Luc Roche, Mathieu |
author_sort |
Lentschat, Martin |
title |
Food packaging permeability and composition dataset dedicated to text-mining |
title_short |
Food packaging permeability and composition dataset dedicated to text-mining |
title_full |
Food packaging permeability and composition dataset dedicated to text-mining |
title_fullStr |
Food packaging permeability and composition dataset dedicated to text-mining |
title_full_unstemmed |
Food packaging permeability and composition dataset dedicated to text-mining |
title_sort |
food packaging permeability and composition dataset dedicated to text-mining |
url |
http://agritrop.cirad.fr/598345/ http://agritrop.cirad.fr/598345/1/Lentschat_et_al_DIB2021.pdf |
work_keys_str_mv |
AT lentschatmartin foodpackagingpermeabilityandcompositiondatasetdedicatedtotextmining AT buchepatrice foodpackagingpermeabilityandcompositiondatasetdedicatedtotextmining AT dibiebarthelemyjuliette foodpackagingpermeabilityandcompositiondatasetdedicatedtotextmining AT menutluc foodpackagingpermeabilityandcompositiondatasetdedicatedtotextmining AT rochemathieu foodpackagingpermeabilityandcompositiondatasetdedicatedtotextmining |
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1792500166964543488 |