Show simple item record

dc.contributor.authorDaxenberger, Johannes
dc.contributor.authorEger, Steffen
dc.contributor.authorGurevych, Iryna
dc.date.accessioned2019-05-24T12:51:22Z
dc.date.available2019-05-24T12:51:22Z
dc.date.issued2019-06
dc.identifier.urihttps://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/1998
dc.descriptionThe 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.isoenen_US
dc.relationIsSupplementTo;URL;https://aclanthology.org/P19-1054en
dc.rightsCC BY-NC 3.0
dc.rights.urihttps://creativecommons.org/licenses/by-nc/3.0/
dc.subjectArgument Similarityen_US
dc.subjectArgument Miningen_US
dc.subject.ddc000 Informatik, Informationswissenschaft, allgemeine Werkeen_US
dc.subject.ddc410 Linguistiken_US
dc.titleUKP ASPECT Corpusen_US
dc.typeTexten_US
tud.tubiblio113670


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

CC BY-NC 3.0
Except where otherwise noted, this item's license is described as CC BY-NC 3.0