This is because the DMI can infer relational representations that capture some common latent relations between aspect and opinion words.
for the second stage, the domain classification loss is minimized by the domain discriminator parameters θ d while maximized by the feature learning parameters θ f via GRL (i.e., the features are   (Pontiki et al., 2014).