Our neural sequence labeling framework contains three layers, i.e., a character sequence representation layer, a word sequence representation layer and an inference layer, as shown in Figure 1 . Character information has been proven to be critical for sequence labeling tasks (Chiu and Nichols, 2016; <cite>Lample et al., 2016</cite>; Ma and Hovy, 2016) , with LSTM and CNN being used to model character sequence information ("Char Rep.").