UKP Sentential Argument Mining Corpus
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.
Annotations and Java code for downloading the sentences from Wayback Machine: UKPSententialArgumentMiningCorpus.zip
See readme.txt in the archive for data format description and how to run the code
The corpus is introduced in the following paper:
- Christian Stab, Tristan Miller, Benjamin Schiller, Pranav Rai, and Iryna Gurevych. Cross-topic argument mining from heterogeneous sources. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), October 2018.