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BWS Argument Similarity Corpus
| dc.contributor.author | Thakur, Nandan | |
| dc.contributor.author | Daxenberger, Johannes | |
| dc.contributor.author | Gurevych, Iryna | |
| dc.date.accessioned | 2020-10-15T20:33:26Z | |
| dc.date.available | 2020-10-15T20:33:26Z | |
| dc.date.created | 2020-10 | |
| dc.date.issued | 2020-10-15 | |
| dc.description | The BWS Argument Similarity Corpus includes 3,400 sentence pairs for 8 controversial topics with 425 argument pairs each for every topic. Each argument-pair was annotated via crowdsourcing using the Best-Worst Scaling (BWS) technique. See the README.txt in the archive for a detailed data format description. | en_US |
| dc.description.version | v1.0 | en_US |
| dc.identifier.uri | https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2496 | |
| dc.language.iso | en | en_US |
| dc.rights.license | In Copyright (https://rightsstatements.org/vocab/InC/1.0/) | |
| dc.subject | argument similarity | en_US |
| dc.subject | pairwise regression | en_US |
| dc.subject | argument pairs | 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 | BWS Argument Similarity Corpus | en_US |
| dc.type | Text | en_US |
| tuda.history.classification | Version=2016-2020;409-05 Interaktive und intelligente Systeme, Bild- und Sprachverarbeitung, Computergraphik und Visualisierung | |
| tuda.project | PTJ | 03VP02540 | ArgumenText |