Der Login über E-Mail und Passwort wird in Kürze abgeschaltet. Für Externe steht ab sofort der Login über ORCID zur Verfügung.
The login via e-mail and password will be retired in the near future. External uses can login via ORCID from now on.
 
File access restricted

BWS Argument Similarity Corpus

Thumbnail Image

Files

BWS_Argument_Similarity_Corpus.zip (309.45 KB)

Date

2020-10-19

Type

Text

Authors

Thakur, NandanORCID 0000-0001-6107-2460
Daxenberger, JohannesORCID 0000-0002-7385-5654
Gurevych, Iryna

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

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.

Keywords

argument similarity, pairwise regression, argument pairs, cross-topic

Citation

Identifier

https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2496.2

Endorsement

Related Resources

Is Cited By
https://arxiv.org/abs/2010.08240

DFG Classification

4.43-04 Künstliche Intelligenz und Maschinelle Lernverfahren
4.43-05 Bild- und Sprachverarbeitung, Computergraphik und Visualisierung, Human Computer Interaction, Ubiquitous und Wearable Computing

Project(s)

PTJ | 03VP02540 | ArgumenText

Faculty

Collections

Argument Mining

License

In Copyright
Except where otherwise noted, this license is described as In Copyright

Version History

Now showing 1 - 2 of 2
VersionDateSummary
2*
 2020-10-19 11:41:01
Adding the arxiv link and citation in the README file.
1
 2020-10-15 22:33:26
* Selected version