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dc.contributor.authorHeindorf, Stefan
dc.contributor.authorScholten, Yan
dc.contributor.authorEngels, Gregor
dc.contributor.authorPotthast, Martin
dc.contributor.editorDavid, Klaus
dc.contributor.editorGeihs, Kurt
dc.contributor.editorLange, Martin
dc.contributor.editorStumme, Gerd
dc.date.accessioned2019-08-27T12:55:26Z
dc.date.available2019-08-27T12:55:26Z
dc.date.issued2019
dc.identifier.isbn978-3-88579-688-6
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/24997
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-294
dc.subjectBias
dc.subjectFairness
dc.subjectKnowledge Base
dc.subjectWikidata
dc.subjectData Quality
dc.subjectVandalism
dc.titleDebiasing Vandalism Detection Models at Wikidataen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages289-290
mci.conference.sessiontitleData Science
mci.conference.locationKassel
mci.conference.date23.-26. September 2019
dc.identifier.doi10.18420/inf2019_48


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