The Application of Transformer Model Architecture for the Dependency Parsing Task

摘要

In this paper, authors discover the advantages of the attention-based neural network application to the natural language dependency-parsing task. The authors explain the architecture and show the results of comparison between attention-based neural network and long-short memory neural networks in relation to the dependency-parsing task.