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Jul, 2020
抽象论证语义的深度学习
Deep Learning for Abstract Argumentation Semantics
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Dennis Craandijk, Floris Bex
TL;DR
本文介绍了一种基于学习的方法来确定在几个抽象论证语义下论点的接受度。 基于 argumentation graph neural network (AGNN) 学习消息传递算法以预测论点被接受的可能性,并且可以被训练来预测不同语义下的扩展,同时在多扩展语义上使用 AGNN 来指导基本搜索。
Abstract
In this paper, we present a learning-based approach to determining acceptance of arguments under several abstract argumentation semantics. More specifically, we propose an
argumentation graph neural network
(AGNN) that learns a
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