The small gains of the prior disambiguation models over the ambiguous models clearly show that deep architectures are quite capable of performing this elementary form of sense selection intrinsically, as part of the learning process itself.
the situation changes when the dynamic disambiguation framework is used, where the gains over the ambiguous version become more significant.