@misc{reisert_riposte_2019,
	title = {Riposte! {A} {Large} {Corpus} of {Counter}-{Arguments}},
	url = {https://arxiv.org/abs/1910.03246v1},
	abstract = {Constructive feedback is an effective method for improving critical thinking skills. Counter-arguments (CAs), one form of constructive feedback, have been proven to be useful for critical thinking skills. However, little work has been done for constructing a large-scale corpus of them which can drive research on automatic generation of CAs for fallacious micro-level arguments (i.e. a single claim and premise pair). In this work, we cast providing constructive feedback as a natural language processing task and create Riposte!, a corpus of CAs, towards this goal. Produced by crowdworkers, Riposte! contains over 18k CAs. We instruct workers to first identify common fallacy types and produce a CA which identifies the fallacy. We analyze how workers create CAs and construct a baseline model based on our analysis.},
	language = {en},
	urldate = {2026-10-14},
	journal = {arXiv.org},
	author = {Reisert, Paul and Heinzerling, Benjamin and Inoue, Naoya and Kiyono, Shun and Inui, Kentaro},
	month = oct,
	year = {2019},
}