Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering

Jianmo Ni, Chenguang Zhu, Weizhu Chen, Julian McAuley. Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering. In Jill Burstein, Christy Doran, Thamar Solorio, editors, Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, Minneapolis, MN, USA, June 2-7, 2019, Volume 1 (Long and Short Papers). pages 335-344, Association for Computational Linguistics, 2019. [doi]

@inproceedings{NiZCM19,
  title = {Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering},
  author = {Jianmo Ni and Chenguang Zhu and Weizhu Chen and Julian McAuley},
  year = {2019},
  url = {https://aclweb.org/anthology/papers/N/N19/N19-1030/},
  researchr = {https://researchr.org/publication/NiZCM19},
  cites = {0},
  citedby = {0},
  pages = {335-344},
  booktitle = {Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, Minneapolis, MN, USA, June 2-7, 2019, Volume 1 (Long and Short Papers)},
  editor = {Jill Burstein and Christy Doran and Thamar Solorio},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-950737-13-0},
}