Attention mechanisms have recently boosted performance on a range of NLP tasks.
Because attention layers explicitly weight input components' representations, it is also often …

Propaganda aims at influencing people's mindset with the purpose of advancing a specific
agenda. Previous work has addressed propaganda detection at document level, typically …

We present the results and the main findings of SemEval-2020 Task 11 on Detection of
Propaganda Techniques in News Articles. The task featured two subtasks. Subtask SI is …

We describe SemEval-2021 task 6 on Detection of Persuasion Techniques in Texts and
Images: the data, the annotation guidelines, the evaluation setup, the results, and the …

Reasoning is central to human intelligence. However, fallacious arguments are common,
and some exacerbate problems such as spreading misinformation about climate change. In …

Given any argument on any controversial topic, how to counter it? This question implies the
challenging retrieval task of finding the best counterargument. Since prior knowledge of a …

Fallacies play a prominent role in argumentation since antiquity due to their contribution to
argumentation in critical thinking education. Their role is even more crucial nowadays as …

We present the shared task on Fine-Grained Propaganda Detection, which was organized
as part of the NLP4IF workshop at EMNLP-IJCNLP 2019. There were two subtasks. FLC is a …

This survey builds an interdisciplinary picture of Argument Mining (AM), with a strong focus
on its potential to address issues related to Social and Political Science. More specifically …

With the widespread use of social media, online hate is increasing, and microaggressions
are receiving attention. We explore the potential for using pretrained language models to …