In this paper, we propose a new sentential annotation scheme that is reliably applicable by crowd workers to arbitrary Web texts.
in a separate, simultaneously written paper (Stab et al., 2018) we evaluate our models in real-world application scenarios by applying them to a large document collection and comparing the results to a manually produced gold standard.