PET refers to the path-enclosed tree kernel, SL refers to the shallow linguistic kernel, and TPWF refers to the kernel computed using trigger, pattern, negative cue and walk features.
e.g., pos(stimulatory)−amod− pos(ef f ects) and pos(ef f ects) − amod − pos(stimulatory) are treated as the same feature.