In practice, the difficulty of building a universally robust and high-performance medical NER system lies in the variety of medical terminologies and expressions among different departments of specialties and hospitals.
in this paper, we propose a novel NER transfer learning framework, namely label-aware double transfer learning (La-DTL): (i) We leverage bidirectional long-short term memory (Bi-LSTM) network (Graves and Schmidhuber, 2005) to automatically learn the text representations, based on which we perform a label-aware feature representation transfer.