Visualizing Trends of Key Roles in News Articles

@article{Xia2019VisualizingTO,
  title={Visualizing Trends of Key Roles in News Articles},
  author={C. Xia and H. Zhang and J. Moghtader and Allen C. H. Wu and Kai-Wei Chang},
  journal={ArXiv},
  year={2019},
  volume={abs/1909.05449}
}
  • C. Xia, H. Zhang, +2 authors Kai-Wei Chang
  • Published 2019
  • Computer Science
  • ArXiv
  • There are tons of news generated every day reflecting the change of key roles such as people, organizations and political parties. Analyzing the trend of these key roles can help understand the information flow in a more effective way. In this paper, we present a demonstration system that visualizes the news trend of key roles based on natural language processing techniques. Specifically, we apply semantic role labelling to understand relationships between key roles in the news. We also train a… CONTINUE READING

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