Discourse Parsing with Attention-based Hierarchical Neural Networks

  title={Discourse Parsing with Attention-based Hierarchical Neural Networks},
  author={Qi Li and Tianshi Li and Baobao Chang},
RST-style document-level discourse parsing remains a difficult task and efficient deep learning models on this task have rarely been presented. In this paper, we propose an attention-based hierarchical neural network model for discourse parsing. We also incorporate tensor-based transformation function to model complicated feature interactions. Experimental results show that our approach obtains comparable performance to the contemporary state-of-the-art systems with little manual feature… CONTINUE READING
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