Hierarchical Attention Networks for Sentence Ordering

@inproceedings{Wang2019HierarchicalAN,
  title={Hierarchical Attention Networks for Sentence Ordering},
  author={Tianming Wang and Xiaojun Wan},
  booktitle={AAAI},
  year={2019}
}
Modeling discourse coherence is an important problem in natural language generation and understanding. Sentence ordering, the goal of which is to organize a set of sentences into a coherent text, is a commonly used task to learn and evaluate the model. In this paper, we propose a novel hierarchical attention network that captures word clues and dependencies between sentences to address this problem. Our model outperforms prior methods and achieves state-of-the-art performance on several… Expand
14 Citations
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