In this paper, we propose a method where, given training data in a related domain with similar (but not identical) named entity (NE) types and a small amount of in-domain training data, we use transfer learning to learn a domain-specific NE model.
the novelty in the task setup is that we assume not just domain mismatch, but also label mismatch.