UKP Argument Aspect Similarity Corpus

UKP Argument Aspect Similarity Corpus

The UKP Argument Aspect Similarity Corpus (UKP ASPECT) includes 3,595 sentence pairs over 28 controversial topics. Each sentence pair was annotated via crowdsourcing as either “high similarity”, “some similarity”, “no similarity” or “not related” with respect to the topic.


The data can be download from TUDataLib.

See the README.txt in the archive for data format description.


The corpus is introduced in the following paper:

  • Nils Reimers, Benjamin Schiller, Tilman Beck, Johannes Daxenberger, Christian Stab, Iryna Gurevych. Classification and Clustering of Arguments with Contextualized Word Embeddings. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), July 2019


Johannes Daxenberger