Lexicon-matched Word Injection for Chinese NER
Qingyu Wang, Sun Guokai, Jianguo Sun, Yuan Zhuang, Lu Li, Tianyi Gao · 2022
Recently, Chinese named entity recognition has attracted a lot of attention. Most of the work utilizes words matching with lexicon which integrates potential word information with lattice structure or graph structure. Although existing approaches have been proved to be effective for exploiting abundant word boundary information, it is difficult to model global semantic interactions due to the inherent one-way sequential nature of the DAG structure. Meanwhile, more interfering lexicon words have been introduced leading to word boundary conflicts.