Wikipedia Edit-Turn-Pairs

datacite.relation.isCitedBy https://www.aclweb.org/anthology/P14-2031/
datacite.relation.isCitedBy https://www.aclweb.org/anthology/Y14-1030/
dc.contributor.author Daxenberger, Johannes
dc.contributor.author Gurevych, Iryna
dc.contributor.author Jamison, Emily K.
dc.date.accessioned 2020-06-22T16:14:34Z
dc.date.available 2020-06-22T16:14:34Z
dc.date.created 2014-12
dc.date.issued 2020-06-22
dc.description Corresponding and Non-Corresponding Edit-Turn-Pairs from the English Wikipedia. The ETP-gold corpus is based on article edits and discussion page turns from the English Wikipedia. The ETP-gold-labels MTurk dataset contains the labels and metadata from the crowdsource annotation task. For the edit-turn-pair detection task, please refer to/cite: Johannes Daxenberger and Iryna Gurevych (2014): "Automatically Detecting Corresponding Edit-Turn-Pairs in Wikipedia." In: Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics. Short Papers. For the crowdsource annotation, please refer to/cite: Emily K. Jamison and Iryna Gurevych (2014). "Needle in a Haystack: Reducing the Costs of Annotating Rare-Class Instances in Imbalanced Datasets." In: Proceedings of the 28th Pacific Asia Conference on Language, Information and Computing. en_US
dc.description.version 1.0 en_US
dc.identifier.uri https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2355
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 en_US
dc.subject Revision en_US
dc.subject.classification 4.43-04
dc.subject.classification 4.43-05
dc.subject.ddc 004
dc.title Wikipedia Edit-Turn-Pairs en_US
dc.type Text en_US
dcterms.accessRights openAccess
person.identifier.orcid 0000-0002-7385-5654
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
tuda.history.classification Version=2016-2020;409-05 Interaktive und intelligente Systeme, Bild- und Sprachverarbeitung, Computergraphik und Visualisierung

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