The task of FrameNet-based shallow semantic parsing can be implemented as a combination of multiple specialized semantic labelers as those in (Carreras and Màrquez, 2005), one for each frame.
the general semantic parsing work-flow includes 4 main steps: (i) Target Word Detection, where the semantically relevant words bringing predicative information (the frame targets) are detected, e.g.