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Context-Aware Representations for Knowledge Base Relation Extraction

datacite.relation.isReferencedBy https://doi.org/10.18653/v1/D17-1188
dc.contributor.author Sorokin, Daniil
dc.contributor.author Gurevych, Iryna
dc.date.accessioned 2021-05-21T09:04:27Z
dc.date.available 2021-05-21T09:04:27Z
dc.date.created 2017-09-01
dc.date.issued 2021-05-21
dc.description We provide a subcorpus of Wikipedia that was annotated with Wikidata relations using a distant supervision procedure. The corpus contains two types of annotations: entities and relations. Entity annotations were extracted from the Wikipedia linkes in the article text. Each link was converted to a Wikidata identifier using the mappings from the Wikidata itself. Additional entities were recognised using a named entity recognizer and were later linked to Wikidata. For each pair of entities in each sentence we searched for Wikidata relations that connect this pair of entities and stored all unambigious instances (only one relation is possible). en_US
dc.identifier.uri https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2776
dc.language.iso en en_US
dc.rights Creative Commons Attribution Share-Alike 4.0
dc.rights.licenseother
dc.rights.uri https://creativecommons.org/licenses/by-sa/4.0/
dc.subject wikipedia, wikidata, relation extraction, knowledge base en_US
dc.subject.classification 4.43-04
dc.subject.classification 4.43-05
dc.subject.ddc 004
dc.title Context-Aware Representations for Knowledge Base Relation Extraction en_US
dc.type Dataset en_US
dcterms.accessRights openAccess
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid 0000-0003-2187-7621
tuda.history.classification Version=2016-2020;409-05 Interaktive und intelligente Systeme, Bild- und Sprachverarbeitung, Computergraphik und Visualisierung
tuda.unit TUDa

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