Many existing state-of-the-art neural sequence labeling models utilize word-level Long Short-Term Memory (LSTM) structures to represent global sequence information and a CRF layer to capture dependencies between neighboring labels <cite>Lample et al., 2016</cite>; Ma and Hovy, 2016; Peters et al., 2017) .