Several RNN-based neural network models have been proposed to solve sequence labeling tasks like speech recognition (Graves et al., 2013), POS tagging  and NER (Chiu and Nichols, 2015;Hu et al., 2016), achieving competitive performance against traditional models.
even systems that have utilized distributed representations as inputs have used these to augment, rather than replace, hand-crafted features (e.g.