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Dataset . 2022
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Dataset . 2022
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Vague Terms in SKOS to detect vagueness in textual documents

Authors: Ghislain, Atemezing; Icard Benjamin; Paul, Egré;

Vague Terms in SKOS to detect vagueness in textual documents

Abstract

This resource contains the second release of the database used to detect vagueness in textual documents. It is represented as SKOS terms. It contains labels in English and French. This lexical database has been developed and is maintained within the project DIEKB by Institut Jean-Nicod (Institut Jean, CNRS, ENS, EHESS, PSL University) and MONDECA. An online demo of the tool VAGO using this database is available at https://research.mondeca.com/demo/vago/.

This work has been partially funded by the project ``Disinformation Identification in Evolving Knowledge Bases'' (DIEKB) under the grant number DGA01D19018444. We also acknowledge grant ANR-17-EURE-0017 FrontCog for research conducted at the Department of Cognitive Studies of ENS, PSL University.

Keywords

gazetteers, vagueness, GATE, desinformation, nlp, SKOS

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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