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BWS Argument Similarity Corpus

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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

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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
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License

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