Although some studies sidestepped the idea by incorporating contextual n-grams (Pei et al., 2014;Zhou et al., 2017) or word attention (Higashiyama et al., 2019) into the sequence labeling process, they are limited in either concatenating word and character embeddings or requiring a well-defined word lexicon.
it has not been fully explored what would be the best way of representing contextual information such as wordhood features in neural CWS models.