@inproceedings{zhu-etal-2022-duqm,
    title = "{D}u{QM}: A {C}hinese Dataset of Linguistically Perturbed Natural Questions for Evaluating the Robustness of Question Matching Models",
    author = "Zhu, Hongyu  and
      Chen, Yan  and
      Yan, Jing  and
      Liu, Jing  and
      Hong, Yu  and
      Chen, Ying  and
      Wu, Hua  and
      Wang, Haifeng",
    editor = "Goldberg, Yoav  and
      Kozareva, Zornitsa  and
      Zhang, Yue",
    booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
    month = dec,
    year = "2022",
    address = "Abu Dhabi, United Arab Emirates",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2022.emnlp-main.531/",
    doi = "10.18653/v1/2022.emnlp-main.531",
    pages = "7782--7794"
}