Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text
Table 3: The results of different models on the MSRA dataset. × indicates that the model uses the BERT.
['Model', 'P', 'R', 'F']
Our model UIcwsNN specializes in learning word-level representation, but rarely considers other-levels characteristics, such as long-distance temporal semantics. Therefore, it only achieves competitive performance on the formal text. But our model UIcwsNN+BERT realizes new state-of-the-art performance.