In [1] we propose AGNN: a deep learning approach that is able to learn to solve several core problems in abstract argumentation almost perfectly. In this ...
In [1] we propose AGNN: a deep learning approach that is able to learn to solve several core problems in abstract argumentation almost perfectly. In this ...
Jul 15, 2020 · In this paper, we present a learning-based approach to determining acceptance of arguments under several abstract argumentation semantics.
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AGNN: A Deep Learning Architecture for Abstract Argumentation Semantics. Authors. Dennis Craandijk, Floris Bex. Pages. 457 - 458. DOI. 10.3233/FAIA200532.
AGNN is a single architecture that can solve different argumentation problems (Cred, Scept,. Constr) for different semantics (grd, prf, stb, com) and on. AFs ...
AGNN is a single architecture that can solve different argumentation problems (Cred, Scept,. Constr) for different semantics (grd, prf, stb, com) and on. AFs ...
Jan 14, 2021 · In this paper, we present a learning-based approach to determining acceptance of arguments under several abstract argumentation semantics. More ...
An argumentation graph neural network (AGNN) that learns a message-passing algorithm to predict the likelihood of an argument being accepted and can be ...
More specifically, we propose an argumentation graph neural network (AGNN) that learns a message-passing algorithm to predict the likelihood of an argument ...
TL;DR: AGNN is proposed: a deep learning approach that is able to learn to solve several core problems in abstract argumentation almost perfectly and its ...