Deep Stacking Networks for Low-Resource Chinese Word Segmentation with Transfer Learning
Table III: Experimental results on six low-resource datasets. The proposed methods are described in Section 2. *We refer to PKU as the News dataset.
['[BOLD] Baselines', 'Models Benchmark', 'P', 'Social Media 92.42', 'News 94.64', 'Tourism 90.77', 'Disease 89.61', 'Fiction 85.92', 'Patent 87.86']
It can be clearly seen that our proposed methods achieve large improvements over all baselines, which proves the effectiveness of our proposed methods. Based on the results, some important findings are concluded as follows.