Stance-based Argument Mining - Modeling Implicit Argumentation Using Stance
Michael Wojatzki, Torsten Zesch · DuEPublico (University of Duisburg-Essen) · 2018
A major remaining challenge in argument mining is implicitness. We propose to model implicit argumentation using explicit stances and the overall stance of a debate. Our evaluation on a social media corpus shows that our model (i) can be reliably annotated even on noisy data and (ii) has the potential to improve the performance of automated argument mining.