Actually, not all the words contribute equally to the domaininvariant feature space though fine-grained adaptation is required.
we propose a novel Selective Adversarial Learning (SAL) method to dynamically learn an alignment weight for each word, where more important words can possess higher alignment weights to achieve a local semantic alignment based on adversarial training.