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dc.contributor.authorSchiller, Benjamin
dc.contributor.authorDaxenberger, Johannes
dc.contributor.authorWaldis, Andreas
dc.contributor.authorGurevych, Iryna
dc.date.accessioned2024-10-01T15:03:45Z
dc.date.available2024-10-01T15:03:45Z
dc.date.issued2024-09
dc.identifier.urihttps://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4353
dc.descriptionThe Few-Shot-150T Corpus includes 21,600 sentences over 150 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.md 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).de_DE
dc.language.isoende_DE
dc.rightsCreative Commons Attribution-NonCommercial 4.0
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectSupporting Topicde_DE
dc.subjectAttacking Topicde_DE
dc.subject.classification4.43-04 Künstliche Intelligenz und Maschinelle Lernverfahrende_DE
dc.subject.classification4.43-05 Bild- und Sprachverarbeitung, Computergraphik und Visualisierung, Human Computer Interaction, Ubiquitous und Wearable Computing
dc.subject.ddc004
dc.titleFew-Shot-150T (FS150T) Corpusde_DE
dc.typeDatasetde_DE
tud.unitTUDa
tud.history.classificationVersion=2016-2020;409-05 Interaktive und intelligente Systeme, Bild- und Sprachverarbeitung, Computergraphik und Visualisierung


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