Moreover, we can observe that DTAL with a limited amount of data (less than 6% of training data in all datasets), performs comparably to DL models with full training data.
we have demonstrated that a deep ER system with our transfer and active learning frameworks can provide a stable and reliable solu-  tion to entity resolution with low annotation effort.