AUTHOR=Galassi Andrea , Kersting Kristian , Lippi Marco , Shao Xiaoting , Torroni Paolo 

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

JOURNAL=Frontiers in Big Data

VOLUME=2

YEAR=2020

URL=https://www.frontiersin.org/journals/big-data/articles/10.3389/fdata.2019.00052

DOI=10.3389/fdata.2019.00052

ISSN=2624-909X

ABSTRACT=<p>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.</p>