UKP Sentential Argument Mining Corpus
| datacite.relation.isCitedBy | https://doi.org/10.18653/v1/D18-1402 | |
| datacite.relation.isCitedBy | https://www.aclweb.org/anthology/D18-1402 | |
| 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.created | 2018 | |
| dc.date.issued | 2020-06-09 | |
| 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.description.version | 1.0 | en_US |
| dc.identifier.uri | https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2345 | |
| dc.language.iso | en | en_US |
| dc.rights.license | In Copyright (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 | 4.43-04 | |
| dc.subject.classification | 4.43-05 | |
| dc.subject.ddc | 004 | |
| dc.title | UKP Sentential Argument Mining Corpus | en_US |
| dc.type | Dataset | en_US |
| dcterms.accessRights | openAccess | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| person.identifier.orcid | 0000-0002-0749-1100 | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| tuda.history.classification | Version=2016-2020;409-05 Interaktive und intelligente Systeme, Bild- und Sprachverarbeitung, Computergraphik und Visualisierung | |
| tuda.project | PTJ | 03VP02540 | ArgumenText |
Files
Original bundle
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| Name | Description | Size | Format | |
|---|---|---|---|---|
| UKP_sentential_argument_mining.zip | 2.24 MB | ZIP-Archivdateien |