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

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

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 r...

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Bibliographic Details
Main Authors: Andrea Galassi, Kristian Kersting, Marco Lippi, Xiaoting Shao, Paolo Torroni
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-01-01
Series:Frontiers in Big Data
Subjects:
neural symbolic learning
argumentation mining
probabilistic logic programming
integrative AI
DeepProbLog
Ground-Specific Markov Logic Networks
Online Access:https://www.frontiersin.org/article/10.3389/fdata.2019.00052/full

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https://www.frontiersin.org/article/10.3389/fdata.2019.00052/full

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