It is a merit of this proposal that, in cases like these, it is possible for one to train the generic model of Figure 2 on any large corpus of text, and then use the produced word vectors and compositional weights to initialize the parameters of a more specific version of the architecture.
the trained parameters will be further refined according to the task-specific objective.