TUdatalib : UKP ASPECT Corpus

dc.contributor.author	Daxenberger, Johannes
dc.contributor.author	Eger, Steffen
dc.contributor.author	Gurevych, Iryna
dc.date.accessioned	2019-05-24T12:51:22Z
dc.date.available	2019-05-24T12:51:22Z
dc.date.issued	2019-06
dc.identifier.uri	https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/1998
dc.description	The UKP ASPECT Corpus includes 3,595 sentence pairs over 28 controversial topics. The sentences were crawled from a large web crawl and identified as arguments for a given topic using the ArgumenText system. The sampling and matching of the sentence pairs is described in the paper. Then, the argument similarity annotation was done via crowdsourcing. Each crowd worker could choose from four annotation options (the exact guidelines are provided in the Appendix of the paper).	en_US
dc.language.iso	en	en_US
dc.relation	IsSupplementTo;URL;https://aclanthology.org/P19-1054	en
dc.rights	CC BY-NC 3.0
dc.rights.uri	https://creativecommons.org/licenses/by-nc/3.0/
dc.subject	Argument Similarity	en_US
dc.subject	Argument Mining	en_US
dc.subject.ddc	000 Informatik, Informationswissenschaft, allgemeine Werke	en_US
dc.subject.ddc	410 Linguistik	en_US
dc.title	UKP ASPECT Corpus	en_US
dc.type	Text	en_US
tud.tubiblio	113670

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