Dyer, Chris; Ballesteros, Miguel; Ling, W; Matthews, A; Smith, Noah A.
(ACL (Association for Computational Linguistics), 2015)
We propose a technique for learning representations of parser states in transitionbased dependency parsers. Our primary innovation is a new control structure for sequence-to-sequence neural networks— the stack LSTM. Like ...