Instead, we want to learn a model that will offer its best prediction of Shift vs. Right-Arc, which we expect to usually be correct.
in those cases where the model does make the wrong decision, it should have the ability to later over-turn that decision, by having an unconstrained choice of Reduce vs. Left-Arc.