UKP Sentential Argument Mining Corpus
| 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.date.accessioned | 2020-06-09T07:50:23Z | |
| dc.date.available | 2020-06-09T07:50:23Z | |
| dc.date.issued | 2018 | |
| dc.identifier.uri | https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2345 | |
| dc.description | The 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.iso | en | en_US |
| dc.relation | IsCitedBy;DOI;10.18653/v1/D18-1402 | |
| dc.relation | IsCitedBy;URL;https://www.aclweb.org/anthology/D18-1402 | |
| dc.rights | in Copyright | |
| dc.rights.uri | https://rightsstatements.org/vocab/InC/1.0/ | |
| dc.subject | argument mining | en_US |
| dc.subject | argument detection | en_US |
| dc.subject | cross-topic | en_US |
| dc.subject.classification | 409-05 Interaktive und intelligente Systeme, Bild- und Sprachverarbeitung, Computergraphik und Visualisierung | en_US |
| dc.subject.ddc | 004 | |
| dc.title | UKP Sentential Argument Mining Corpus | en_US |
| dc.type | Dataset | en_US |
| dc.description.version | 1.0 | en_US |
| tud.project | PTJ | 03VP02540 | ArgumenText | en_US |
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Argument Mining [17]
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