Effective Neural Solution for Multi-Criteria Word Segmentation
Table 3: Comparison with previous state-of-the-art models of results on all four Bakeoff-2005 datasets. Results with ♣ used external dictionary or corpus, with ♠ are from Cai and Zhao (2016)’s runs on their released implementations without dictionary, with ♢ expurgated long words in test set.
['Models', 'PKU', 'MSR', 'CityU', 'AS']
Our baseline model is Bi-LSTM-CRFs trained on each datasets separately. Then we improved it with multi-criteria learning.