Triple-Fact Retriever: An explainable reasoning retrieval model for multi-hop QA problem

Chengmin Wu, Enrui Hu, Ke Zhan, Lan Luo, Xinyu Zhang, Hao Jiang, Qirui Wang, Zhao Cao, Fan Yu, Lei Chen 0002. Triple-Fact Retriever: An explainable reasoning retrieval model for multi-hop QA problem. In 38th IEEE International Conference on Data Engineering, ICDE 2022, Kuala Lumpur, Malaysia, May 9-12, 2022. pages 1206-1218, IEEE, 2022. [doi]

@inproceedings{WuHZLZJWCYC22,
  title = {Triple-Fact Retriever: An explainable reasoning retrieval model for multi-hop QA problem},
  author = {Chengmin Wu and Enrui Hu and Ke Zhan and Lan Luo and Xinyu Zhang and Hao Jiang and Qirui Wang and Zhao Cao and Fan Yu and Lei Chen 0002},
  year = {2022},
  doi = {10.1109/ICDE53745.2022.00095},
  url = {https://doi.org/10.1109/ICDE53745.2022.00095},
  researchr = {https://researchr.org/publication/WuHZLZJWCYC22},
  cites = {0},
  citedby = {0},
  pages = {1206-1218},
  booktitle = {38th IEEE International Conference on Data Engineering, ICDE 2022, Kuala Lumpur, Malaysia, May 9-12, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-0883-7},
}