Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning

神经符号论证挖掘:支持深度学习和推理的论证

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Abstract

Deep learning is bringing remarkable contributions to the field of argumentation mining, but the existing approaches still need to fill the gap toward performing advanced reasoning tasks. In this position paper, we posit that neural-symbolic and statistical relational learning could play a crucial role in the integration of symbolic and sub-symbolic methods to achieve this goal.

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