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Multilingual UKP Sentential Argument Mining Corpus

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ArgMin.zip (5.41 MB)

Date

2020-10-26

Type

Text

Authors

Stab, Christian
Miller, TristanORCID 0000-0002-0749-1100
Rai, Pranav
Schiller, Benjamin
Gurevych, Iryna
Eger, Steffen
Daxenberger, JohannesORCID 0000-0002-7385-5654

Journal Title

Journal ISSN

Volume Title

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Abstract

Description

This dataset is an extension of the original UKP Sentential Argument Mining Corpus which 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. This extension provides machine translated versions in Turkish, Russian and Georgian of the English original.

Keywords

argument detection, cross-topic, multi-lingual, argument mining

Citation

Identifier

https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2502

Endorsement

Related Resources

Is Cited By
https://arxiv.org/abs/2006.09109

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