Generative Incremental Dependency Parsing with Neural Networks

We propose a neural network model for scalable generative transition-based dependency parsing. A probability distribution over both sentences and transition sequences is parameterised by a feedforward neural network. The model surpasses the accuracy and speed of previous generative dependency parsers, reach

• Type: Journal
• Year: 2015
• Where: ACL
• Authors: Jan Buys, Phil Blunsom
• Keywords: ACL 2015, Computational Linguistics