ERC Consolidator Grant · 2025
Deep Multimodal Learning for Mining and Generation of Arguments
Argumentation is carried out every day on multiple platforms and media, no longer exchanged only between humans, but also in human-machine dialogues. The computational analysis of argumentation is vital to ensure logical soundness and fairness in argument exchanges. The state of the art falls short of fulfilling these needs and does not offer a robust handling of incomplete and implicit arguments, and of multimodal argumentation involving verbal and nonverbal cues. My project will solve this timely scientific and societal challenge by developing computational methods for making multimodal argumentation in digitally mediated human interactions more intelligible. Our key move is to go beyond…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.
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