Hybrid MemNet for Extractive Summarization

  title={Hybrid MemNet for Extractive Summarization},
  author={A. Singh and Manish Gupta and Vasudeva Varma},
  journal={Proceedings of the 2017 ACM on Conference on Information and Knowledge Management},
Extractive text summarization has been an extensive research problem in the field of natural language understanding. While the conventional approaches rely mostly on manually compiled features to generate the summary, few attempts have been made in developing data-driven systems for extractive summarization. To this end, we present a fully data-driven end-to-end deep network which we call as Hybrid MemNet for single document summarization task. The network learns the continuous unified… Expand
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