With respect to non-linear modeling power, various network structures have been exploited to represent contexts for segmentation disambiguation, including multi-layer perceptrons on fivecharacter windows (Zheng et al., 2013; Pei et al., 2014; Chen et al., 2015a) , as well as LSTMs on characters (Chen et al., 2015b; Xu and Sun, 2016) and words (Morita et al., 2015; Cai and Zhao, 2016;<cite> Zhang et al., 2016b)</cite> .