TUdatalib : Multilingual UKP Sentential Argument Mining Corpus

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dc.contributor.author	Stab, Christian
dc.contributor.author	Miller, Tristan
dc.contributor.author	Rai, Pranav
dc.contributor.author	Schiller, Benjamin
dc.contributor.author	Gurevych, Iryna
dc.contributor.author	Eger, Steffen
dc.contributor.author	Daxenberger, Johannes
dc.date.accessioned	2020-10-26T15:14:16Z
dc.date.available	2020-10-26T15:14:16Z
dc.date.issued	2020-10
dc.identifier.uri	https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2502
dc.description	This dataset is an extension of the original UKP Sentential Argument Mining Corpus which 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. This extension provides machine translated versions in Turkish, Russian and Georgian of the English original.	en_US
dc.relation	IsCitedBy;arXiv;2006.09109
dc.rights	in Copyright
dc.rights.uri	https://rightsstatements.org/vocab/InC/1.0/
dc.subject	argument detection	en_US
dc.subject	cross-topic	en_US
dc.subject	multi-lingual	en_US
dc.subject	argument mining	en_US
dc.subject.classification	4.43-04 Künstliche Intelligenz und Maschinelle Lernverfahren	en_US
dc.subject.classification	4.43-05 Bild- und Sprachverarbeitung, Computergraphik und Visualisierung, Human Computer Interaction, Ubiquitous und Wearable Computing
dc.subject.ddc	004
dc.title	Multilingual UKP Sentential Argument Mining Corpus	en_US
dc.type	Text	en_US
tud.project	PTJ \| 03VP02540 \| ArgumenText	en_US
tud.history.classification	Version=2016-2020;409-05 Interaktive und intelligente Systeme, Bild- und Sprachverarbeitung, Computergraphik und Visualisierung

Dateien zu dieser Ressource

Name:: ArgMin.zip
Größe:: 5.409MB
Format:: application/zip

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Der Datensatz erscheint in:

Argument Mining [19]

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Solange nicht anders angezeigt, wird die Lizenz wie folgt beschrieben: in Copyright