… ) have shown promising results for named-entity recognition (NER). In order to achieve high
… transfer learning may address this issue. In particular, we demonstrate that transferring an …

… for transfer learning. In this work, we analyze to what extent transfer learning improves
upon … and transfer learning method for chemical entities that we observe at the macro-level. …

… existing transfer learning techniques for entity recognition with … transfer learning methods for
recognizing novel entities, … direct comparison of these transfer learning methods. In addition, …

… Transfer learning in general improves the generalisation of the model. In this paper we apply
transfer learning in two … We study how a neural model for NER of one entity type which is …

… Then, transfer learning methods applied to NER including data-based transfer learning,
model-based transfer learning and adversarial transfer learning in recent years are …

… In this paper, we propose a transfer learning-based approach to NER in novel domains
with label mismatch over a source domain. We first train an NER model on a large source …

… the Tunable Transfer Network (TTN), to incorporate transfer learning options to each layer.
Finally, we introduce the Dynamic Transfer Network (DTN), as a trainable transfer learning …

… In this study, we investigated the impact of the development of a transfer learning model
Pooled-GRU model over our previous Bi-LSTM-CRF model for Arabic named entity recognition. …

… we propose the hierarchical shared transfer learning, which combines multi-task learning …
entity features and the upper data features. We select 14 datasets containing 4 types of entities …

… a transfer learning approach. The effect of our proposed method was verified with two versions
of DNN-based named entity recognition (… ; thus, we apply transfer learning to mitigate the …