6 citations · 9 across the 12 of their papers we have counts for
4 papers · 1 filter
Heterogeneous Graph Neural Networks for Assumption-Based Argumentation
Preesha Gehlot, Anna Rapberger, Fabrizio Russo +1
Assumption-Based Argumentation (ABA) is a powerful structured argumentation formalism, but exact computation of extensions under stable semantics is intractable for large framework…
On Strong and Weak Admissibility in Non-Flat Assumption-Based Argumentation
Matti Berthold, Lydia Blümel, Anna Rapberger
In this work, we broaden the investigation of admissibility notions in the context of assumption-based argumentation (ABA). More specifically, we study two prominent alternatives t…
Argumentative Debates for Transparent Bias Detection [Technical Report]
Hamed Ayoobi, Nico Potyka, Anna Rapberger +1
As the use of AI in society grows, addressing emerging biases is essential to prevent systematic discrimination. Several bias detection methods have been proposed, but, with few ex…
On Gradual Semantics for Assumption-Based Argumentation
Anna Rapberger, Fabrizio Russo, Antonio Rago +1
In computational argumentation, gradual semantics are fine-grained alternatives to extension-based and labelling-based semantics . They ascribe a dialectical strength to (component…