In recent years, dependency parsing with neural network features (Chen and Manning, 2014;Dyer et al., 2015;Cross and Huang, 2016;Kiperwasser and Goldberg, 2016;Dozat and Manning, 2016;Shi et al., 2017) has shown impressive performance.
kiperwasser and Goldberg (2016) used bidirectional LSTMs to generate features for individual words, which are then used to predict parsing actions.