(2011) seeks to solve NLP tasks without depending on the feature engineering of conventional NLP methods, our architecture is more practical because it integrates the neural networks into a well-tuned conventional method.
our tagger outperform Bohnet and Nivre (2012), so we believe this is the highest PoS accuracy ever reported for a tagger trained on this data set.