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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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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spelling doaj-882ea341b6f341cdabdbebb35ff5f1ed2020-11-25T00:46:45ZengFrontiers Media S.A.Frontiers in Big Data2624-909X2020-01-01210.3389/fdata.2019.00052506333Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and ReasoningAndrea Galassi0Kristian Kersting1Marco Lippi2Xiaoting Shao3Paolo Torroni4Department of Computer Science and Engineering, University of Bologna, Bologna, ItalyComputer Science Department and Centre for Cognitive Science, TU Darmstadt, Darmstadt, GermanyDepartment of Sciences and Methods for Engineering, University of Modena and Reggio Emilia, Reggio Emilia, ItalyComputer Science Department and Centre for Cognitive Science, TU Darmstadt, Darmstadt, GermanyDepartment of Computer Science and Engineering, University of Bologna, Bologna, ItalyDeep 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.https://www.frontiersin.org/article/10.3389/fdata.2019.00052/fullneural symbolic learningargumentation miningprobabilistic logic programmingintegrative AIDeepProbLogGround-Specific Markov Logic Networks
collection DOAJ
language English
format Article
sources DOAJ
author Andrea Galassi
Kristian Kersting
Marco Lippi
Xiaoting Shao
Paolo Torroni
spellingShingle Andrea Galassi
Kristian Kersting
Marco Lippi
Xiaoting Shao
Paolo Torroni
Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning
Frontiers in Big Data
neural symbolic learning
argumentation mining
probabilistic logic programming
integrative AI
DeepProbLog
Ground-Specific Markov Logic Networks
author_facet Andrea Galassi
Kristian Kersting
Marco Lippi
Xiaoting Shao
Paolo Torroni
author_sort Andrea Galassi
title Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning
title_short Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning
title_full Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning
title_fullStr Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning
title_full_unstemmed Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning
title_sort neural-symbolic argumentation mining: an argument in favor of deep learning and reasoning
publisher Frontiers Media S.A.
series Frontiers in Big Data
issn 2624-909X
publishDate 2020-01-01
description 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.
topic neural symbolic learning
argumentation mining
probabilistic logic programming
integrative AI
DeepProbLog
Ground-Specific Markov Logic Networks
url https://www.frontiersin.org/article/10.3389/fdata.2019.00052/full
work_keys_str_mv AT andreagalassi neuralsymbolicargumentationmininganargumentinfavorofdeeplearningandreasoning
AT kristiankersting neuralsymbolicargumentationmininganargumentinfavorofdeeplearningandreasoning
AT marcolippi neuralsymbolicargumentationmininganargumentinfavorofdeeplearningandreasoning
AT xiaotingshao neuralsymbolicargumentationmininganargumentinfavorofdeeplearningandreasoning
AT paolotorroni neuralsymbolicargumentationmininganargumentinfavorofdeeplearningandreasoning
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