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UKP Sentential Argument Mining Corpus

Thumbnail Image

Files

UKP_sentential_argument_mining.zip (2.24 MB)

Date

2020-06-09

Type

Dataset

Authors

Stab, Christian
Miller, TristanORCID 0000-0002-0749-1100
Rai, Pranav
Schiller, Benjamin
Gurevych, Iryna

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

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).

Keywords

argument mining, argument detection, cross-topic

Citation

Identifier

https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2345

Endorsement

Related Resources

Is Cited By
https://doi.org/10.18653/v1/D18-1402
https://www.aclweb.org/anthology/D18-1402

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