Deep Stacking Networks for Low-Resource Chinese Word Segmentation with Transfer Learning
Table V: Results of Sequence-SNs on the Social Media dataset with different domain-based models.
['Domain-based Models', 'Social Media P', 'Social Media R', 'Social Media F']
Our proposed methods have the strong conflict management skills. For example, “MSR+PKU+CTB8” represents that we integrate three models which are pre-trained on MSR, PKU and CTB8 datasets to improve the performance on the Social Media dataset. It can be seen that with the increase of the number of datasets, the performance becomes better. It shows that our proposed methods can learn knowledge from partially conflicting datasets.