A Deep Reinforcement Learning Based Multi-Step Coarse to Fine Question Answering (MSCQA) System

Yu Wang, Hongxia Jin. A Deep Reinforcement Learning Based Multi-Step Coarse to Fine Question Answering (MSCQA) System. In The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019. pages 7224-7232, AAAI Press, 2019. [doi]

@inproceedings{WangJ19-12,
  title = {A Deep Reinforcement Learning Based Multi-Step Coarse to Fine Question Answering (MSCQA) System},
  author = {Yu Wang and Hongxia Jin},
  year = {2019},
  url = {https://aaai.org/ojs/index.php/AAAI/article/view/4707},
  researchr = {https://researchr.org/publication/WangJ19-12},
  cites = {0},
  citedby = {0},
  pages = {7224-7232},
  booktitle = {The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019},
  publisher = {AAAI Press},
  isbn = {978-1-57735-809-1},
}