@inproceedings{d96c076e7e2a49098f8f45061c5ddb35,
title = "An annotation protocol for collecting user-generated counter-arguments using crowdsourcing",
abstract = "Constructive feedback is important for improving critical thinking skills. However, little work has been done to automatically generate such feedback for an argument. In this work, we experiment with an annotation protocol for collecting user-generated counter-arguments via crowdsourcing. We conduct two parallel crowdsourcing experiments, where workers are instructed to produce (i) a counter-argument, and (ii) a counter-argument after identifying a fallacy. Our analysis indicates that we can collect counter-arguments that are useful as constructive feedback, especially when workers are first asked to identify a fallacy type.",
keywords = "Annotation study, Constructive feedback, Counter-argument, Critical thinking, Crowdsourcing, Fallacy",
author = "Paul Reisert and Gisela Vallejo and Naoya Inoue and Iryna Gurevych and Kentaro Inui",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 20th International Conference on Artificial Intelligence in Education, AIED 2019 ; Conference date: 25-06-2019 Through 29-06-2019",
year = "2019",
doi = "10.1007/978-3-030-23207-8_43",
language = "English",
isbn = "9783030232061",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "232--236",
editor = "Seiji Isotani and Eva Mill{\'a}n and Amy Ogan and Bruce McLaren and Peter Hastings and Rose Luckin",
booktitle = "Artificial Intelligence in Education - 20th International Conference, AIED 2019, Proceedings",
}