@inproceedings{zheng-etal-2020-difference,
    title = "Difference-aware Knowledge Selection for Knowledge-grounded Conversation Generation",
    author = "Zheng, Chujie  and
      Cao, Yunbo  and
      Jiang, Daxin  and
      Huang, Minlie",
    editor = "Cohn, Trevor  and
      He, Yulan  and
      Liu, Yang",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2020",
    month = nov,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2020.findings-emnlp.11/",
    doi = "10.18653/v1/2020.findings-emnlp.11",
    pages = "115--125",
    abstract = "In a multi-turn knowledge-grounded dialog, the difference between the knowledge selected at different turns usually provides potential clues to knowledge selection, which has been largely neglected in previous research. In this paper, we propose a difference-aware knowledge selection method. It first computes the difference between the candidate knowledge sentences provided at the current turn and those chosen in the previous turns. Then, the differential information is fused with or disentangled from the contextual information to facilitate final knowledge selection. Automatic, human observational, and interactive evaluation shows that our method is able to select knowledge more accurately and generate more informative responses, significantly outperforming the state-of-the-art baselines."
}