The use of neural networks for transition-based shift-reduce parsing was first presented by Mayberry and Miikkulainen (1999) in which the stack representation was treated as a hidden state of an RNN.
(2013), which adopts the shift-reduce parsing of Sagae and Lavie (2005) and Zhang and Clark (2009).