Using a few different NLP tasks, we then empirically show that our method can indeed learn a better classifier for the target domain than a few baselines.
our method performs consistently better than or competitively with Structural Correspondence Learning (SCL) (Blitzer et al., 2006), a wellknown unsupervised domain adaptation method in NLP.