1 code implementation • CONLL 2018 • {\"O}mer K{\i}rnap, Erenay Dayan{\i}k, Deniz Yuret
We introduce tree-stack LSTM to model state of a transition based parser with recurrent neural networks.
no code implementations • CONLL 2017 • {\"O}mer K{\i}rnap, Berkay Furkan {\"O}nder, Deniz Yuret
We introduce context embeddings, dense vectors derived from a language model that represent the left/right context of a word instance, and demonstrate that context embeddings significantly improve the accuracy of our transition based parser.