Tailor

Knowledge graphs are recently used for enriching query representations in an entity-aware way for the rich facts or- ganized around entities in it. How- ever, few of the methods pay …...

AbstractControlled text perturbation is useful for evaluating and improving model generalizability. However, current techniques rely on training a model for every target perturbation, which is expensive and hard to generalize. …...

AbstractAttribute-based Controlled Text Generation (CTG) refers to generating sentences that satisfy desirable attributes (e.g., emotions and topics). Existing work usually utilize fine-tuning or resort to extra attribute classifiers, yet suffer …...