A number of techniques have been developed in the literature to tackle the problem of cross-domain feature divergence and feature sparsity, including clustering based word representation learning methods<cite> (Huang and Yates, 2009</cite>; Candito et al., 2011) , word embedding based representation learning methods (Turian et al., 2010; Hovy et al., 2015) and some other representation learning methods (Blitzer et al., 2006) .