MFE-NER: Multi-feature Fusion Embedding for Chinese Named Entity Recognition
Published in arXiv preprint, 2021
Recommended citation: Li, J., & Meng, K. (2021). MFE-NER: multi-feature fusion embedding for Chinese named entity recognition. arXiv preprint arXiv:2109.07877. https://arxiv.org/abs/2109.07877
In this paper, we propose a new method, Multi-Feature Fusion Embedding for Chinese Named Entity Recognition (MFE-NER), to strengthen the language pattern of Chinese and handle the character substitution problem in Chinese Named Entity Recognition.