We propose the task of implicit misogyny detection as an Argumentative Reasoning task, by assessing the quality of LLMs in generating the warrants which require reasoning skills in order to be extracted.
We present an overview of the MM-ArgFallacy2025 shared task on Multimodal Argumentative Fallacy Detection and Classification in Political Debates, co-located with the 12th Workshop on Argument Mining at ACL 2025.
We propose MAMKit, an open, publicly available, PyTorch toolkit that consolidates datasets and models, providing a standardized platform for experimentation.
We propose multimodal argument mining for argumentative fallacy classification in political debates.
We study how propositions are combined inhigher-level structures and how the relations between propositionscan be predicted by NLP models.
We introduce ArgSciChat, a dataset of 41 argumentative dialogues between scientists on 20 NLP papers.
We present Demosthenes, a novel corpus for argument mining in legal documents, composed of 40 decisions of the Court of Justice of the European Union on matters of fiscal state aid.
We propose a study on multimodal argument mining in the domain of political debates
We develop an artificial intelligence system for the analysis of the scientific literature by leveraging on recent developments in the field of Argument Mining.
AMICA is an argument mining-based search engine, specifically designed for the analysis of scientific literature related to Covid-19.