SRL captures important semantic representations for actions associated with verbs, which have shown beneficial for a variety of applications such as information extraction (Emanuele et al., 2013) and question answering (Shen and Lapata, 2007).
the traditional SRL is not targeted to represent verb semantics that are grounded to the physical world so that artificial agents can truly understand the ongoing activities and (learn to) perform the specified actions.