3 citations · 4 across the 4 of their papers we have counts for
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cs.AI2026
The TEA Nets framework combines AI and cognitive network science to model targets, events and actors in text
Sebastiano Franchini, Alexis Carrillo, Edoardo Sebastiano De Duro +3
We introduce Target-Event-Agent Networks (TEA Nets) as a computational framework to extract subjects (``Agents"), verbs (``Events"), and objects (``Targets") from texts. Grounded i…
cs.AI2024★ 3 cited
Y Social: an LLM-powered Social Media Digital Twin
Giulio Rossetti, Massimo Stella, Rémy Cazabet +7
In this paper we introduce Y, a new-generation digital twin designed to replicate an online social media platform. Digital twins are virtual replicas of physical systems that allow…