Previous studies have shown that the NLP models would suffer from a significant performance loss when domains shift (Blitzer et al., 2006;Daume III, 2007;Plank and Moschitti, 2013;Nguyen et al., 2015c).
if a model is trained on some source domain and applied to a different domain (the target domain), its performance would degrade significantly.