Only for the best configuration in Table 1 (PK+TK, results in bold) the amount of training data for the BD model was increased from 2% to 90%, resulting in a popular splitting for this task (Erk and Pado, 2006).
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.