Hence, character-level Chinese NER using lexicon features to better leverage word information has attracted research attention (Passos et al., 2014;Zhang and Yang, 2018).
zhang and Yang (2018) introduced a variant of a long short-term memory network (latticestructured LSTM) that encodes all potential words matching a sentence to exploit explicit word information, achieving state-of-the-art results.