Accepted journal paper at DB-Spektrum
Relational and Fine-Grained Argument Mining
28.05.2020
Authors
Dietrich Trautmann, Michael Fromm, Volker Tresp, Thomas Seidl, Hinrich Schütze
Abstract
In our project ReMLAV, funded within the DFG Priority Program RATIO, we focus on relational and fine-grained argument mining. In this article, we first introduce the problems we address and then summarize related work. The main part of the article describes our research on argument mining, both coarse-grained and fine-grained methods, and on same-side stance classification, a relational approach to the problem of stance classification. We conclude with an outlook. more
