The model utilizes not only attributes about bunsetsus i, j but also attributes about all bunsetsus (including j) which follow bunsetsu i.
instead of learning two output values "T(true)" or "F(false)" for the dependency between two bunsetsus, three output values are used for learning: the bunsetsu i is "bynd (dependent on a bunsetsu beyond j)", "dpnd (dependent on the bunsetsu j)" or "btwn (dependent on a bunsetsu between i and j)".