GNN-encoder: Learning a Dual-encoder Architecture via Graph Neural Networks for Dense Passage Retrieval

Jiduan Liu, Jiahao Liu, Yang Yang, Jingang Wang, Wei Wu, Dongyan Zhao 0001, Rui Yan. GNN-encoder: Learning a Dual-encoder Architecture via Graph Neural Networks for Dense Passage Retrieval. In Yoav Goldberg, Zornitsa Kozareva, Yue Zhang, editors, Findings of the Association for Computational Linguistics: EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022. pages 564-575, Association for Computational Linguistics, 2022. [doi]

@inproceedings{LiuLYWW0Y22,
  title = {GNN-encoder: Learning a Dual-encoder Architecture via Graph Neural Networks for Dense Passage Retrieval},
  author = {Jiduan Liu and Jiahao Liu and Yang Yang and Jingang Wang and Wei Wu and Dongyan Zhao 0001 and Rui Yan},
  year = {2022},
  url = {https://aclanthology.org/2022.findings-emnlp.39},
  researchr = {https://researchr.org/publication/LiuLYWW0Y22},
  cites = {0},
  citedby = {0},
  pages = {564-575},
  booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022},
  editor = {Yoav Goldberg and Zornitsa Kozareva and Yue Zhang},
  publisher = {Association for Computational Linguistics},
}