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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Autores principales: Galassi, Andrea, Kersting, Kristian, Lippi, Marco, Shao, Xiaoting, Torroni, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Big Data
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7931943/
https://www.ncbi.nlm.nih.gov/pubmed/33693375
http://dx.doi.org/10.3389/fdata.2019.00052
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author Galassi, Andrea
Kersting, Kristian
Lippi, Marco
Shao, Xiaoting
Torroni, Paolo
author_facet Galassi, Andrea
Kersting, Kristian
Lippi, Marco
Shao, Xiaoting
Torroni, Paolo
author_sort Galassi, Andrea
collection PubMed
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.
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spelling pubmed-79319432021-03-09 Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning Galassi, Andrea Kersting, Kristian Lippi, Marco Shao, Xiaoting Torroni, Paolo Front Big Data Big Data 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. Frontiers Media S.A. 2020-01-22 /pmc/articles/PMC7931943/ /pubmed/33693375 http://dx.doi.org/10.3389/fdata.2019.00052 Text en Copyright © 2020 Galassi, Kersting, Lippi, Shao and Torroni. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Big Data
Galassi, Andrea
Kersting, Kristian
Lippi, Marco
Shao, Xiaoting
Torroni, Paolo
Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning
title 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_short 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
topic Big Data
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7931943/
https://www.ncbi.nlm.nih.gov/pubmed/33693375
http://dx.doi.org/10.3389/fdata.2019.00052
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