To solve that, the full model AD-SAL performs a local semantic alignment to dynamically focus on aligning aspect words that contribute more to the domain-invariant feature space.
at the final hop, we adopt a domain discriminator for each word with a gradient reversal layer (Ganin et al., 2016) to perform domain adversarial learning over its correlation vector (alignment).