Recent sequence labeling models achieve state-of-the-art performance by combining both character-level and word-level information (Chiu and Nichols, 2016;Ma and Hovy, 2016;Lample et al., 2016).
these models heavily rely on large-scale annotated training data, which may not be available in most languages.