Nevertheless, we obtain almost human performance when including the types of argument components of the gold standard (macro F1-score >0.85) in our argument relation identification experiment and when including the number of incoming and outgoing support relations for each argument component in our first experiment (macro F1-score >0.9).
it can be assumed, that if the identification of argument components can be improved, the identification of argumentative relations will achieve better results and vice versa.