The model with CharAVs and LexW2Vs built on top of GoogleW 2V vectors and Dependen-cyW2Vs is effective in order to increase classification accuracy.
to construct embedding inputs for our model, we use a fixed-sized word vocabulary V word and a fixed-sized character vocabulary V char .