Be Relevant, Non-Redundant, and Timely: Deep Reinforcement Learning for Real-Time Event Summarization

Min Yang, Chengming Li, Fei Sun, Zhou Zhao, Ying Shen, Chenglin Wu. Be Relevant, Non-Redundant, and Timely: Deep Reinforcement Learning for Real-Time Event Summarization. In The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020. pages 9410-9417, AAAI Press, 2020. [doi]

@inproceedings{YangLSZSW20,
  title = {Be Relevant, Non-Redundant, and Timely: Deep Reinforcement Learning for Real-Time Event Summarization},
  author = {Min Yang and Chengming Li and Fei Sun and Zhou Zhao and Ying Shen and Chenglin Wu},
  year = {2020},
  url = {https://aaai.org/ojs/index.php/AAAI/article/view/6483},
  researchr = {https://researchr.org/publication/YangLSZSW20},
  cites = {0},
  citedby = {0},
  pages = {9410-9417},
  booktitle = {The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020},
  publisher = {AAAI Press},
  isbn = {978-1-57735-823-7},
}