  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.
