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Neural-Symbolic Argumentation Mining: an Argument in Favor of Deep Learning and Reasoning
May 22, 2019 Β· Declared Dead Β· π Frontiers in Big Data
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Authors
Andrea Galassi, Kristian Kersting, Marco Lippi, Xiaoting Shao, Paolo Torroni
arXiv ID
1905.09103
Category
cs.AI: Artificial Intelligence
Citations
15
Venue
Frontiers in Big Data
Last Checked
4 months ago
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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