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dc.contributor.authorStab, Christian
dc.contributor.authorMiller, Tristan
dc.contributor.authorRai, Pranav
dc.contributor.authorSchiller, Benjamin
dc.contributor.authorGurevych, Iryna
dc.date.accessioned2020-06-09T07:50:23Z
dc.date.available2020-06-09T07:50:23Z
dc.date.issued2018
dc.identifier.urihttps://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2345
dc.descriptionThe UKP Sentential Argument Mining Corpus includes 25,492 sentences over eight controversial topics. Each sentence was annotated via crowdsourcing as either a supporting argument, an attacking argument, or not an argument with respect to the topic. See the readme.txt in the archive for a data format description. The annotations (not the annotated sentences) are released under the Creative Commons Attribution-NonCommercial licence (CC BY-NC).en_US
dc.language.isoenen_US
dc.relationIsCitedBy;DOI;10.18653/v1/D18-1402
dc.relationIsCitedBy;URL;https://www.aclweb.org/anthology/D18-1402
dc.rightsin Copyright
dc.rights.urihttps://rightsstatements.org/vocab/InC/1.0/
dc.subjectargument miningen_US
dc.subjectargument detectionen_US
dc.subjectcross-topicen_US
dc.subject.classification409-05 Interaktive und intelligente Systeme, Bild- und Sprachverarbeitung, Computergraphik und Visualisierungen_US
dc.subject.ddc004
dc.titleUKP Sentential Argument Mining Corpusen_US
dc.typeDataseten_US
dc.description.version1.0en_US
tud.projectPTJ | 03VP02540 | ArgumenTexten_US


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