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Open Access

UKP ASPECT Corpus

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UKP_ASPECT.zip () (130.97 KB)

Date

2019-05-24

Type

Text

Authors

Daxenberger, JohannesORCID 0000-0002-7385-5654
Eger, Steffen
Gurevych, Iryna

Journal Title

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Volume Title

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Abstract

Description

The UKP ASPECT Corpus includes 3,595 sentence pairs over 28 controversial topics. The sentences were crawled from a large web crawl and identified as arguments for a given topic using the ArgumenText system. The sampling and matching of the sentence pairs is described in the paper. Then, the argument similarity annotation was done via crowdsourcing. Each crowd worker could choose from four annotation options (the exact guidelines are provided in the Appendix of the paper).

Keywords

Argument Similarity, Argument Mining

Citation

Identifier

https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/1998

Endorsement

Related Resources

Is Supplement To
https://aclanthology.org/P19-1054

DFG Classification

Project(s)

Faculty

Collections

Argument Mining

License

Except where otherwise noted, this license is described as CC BY-NC 3.0