(ii) The local approach might suffer from the data sparseness issue of unseen words/features, the difficulty of calibrating, and the failure to induce the underlying similarity structures at high levels of abstraction for EL (due to the extensive reliance on the hand-designed coarse features) (Sun et al., 2015;<cite> Francis-Landau et al., 2016)</cite> .