Enhancing Chinese Named Entity Recognition with Multi-Feature Fusion Embedding to Handle Character Substitution

A lightweight method, MFE-NER, that fuses glyph and phonetic features to help pre-trained language models handle the character substitution problem in Chinese Named Entity Recognition.