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Abstractive summarization by neural attention model with document content memory

  • Published:2018-10-09 Issue: Volume: Page:
  • ISSN:
  • Container-title:Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems
  • language:
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Author:

Choi Yunseok1,Kim Dahae1,Lee Jee-Hyong1

Affiliation:

1. Sungkyunkwan University, Korea

Funder

the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP)

Next-Generation Information Computing Development Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science

Publisher

ACM

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Abstractive Multi-document Summarization Using Deep Learning Approaches;Proceedings of Second International Conference on Advances in Computer Engineering and Communication Systems;2022

2. An embedding method for unseen words considering contextual information and morphological information;Proceedings of the 36th Annual ACM Symposium on Applied Computing;2021-03-22

3. Nuclear Power Plants With Artificial Intelligence in Industry 4.0 Era: Top-Level Design and Current Applications—A Systemic Review;IEEE Access;2020

4. Adversarial Detection with Gaussian Process Regression-based Detector;KSII Transactions on Internet and Information Systems;2019-08-31
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