In particular, 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.
these methods are usually based on RNN or CRF to sequentially encode a sentence, while the underlying structure of language is not strictly sequential (Shen et al., 2019).