DuQM: A Chinese Dataset of Linguistically Perturbed Natural Questions for Evaluating the Robustness of Question Matching Models

Hongyu Zhu, Yan Chen, Jing Yan 0004, Jing Liu, Yu Hong, Ying Chen, Hua Wu, Haifeng Wang 0001. DuQM: A Chinese Dataset of Linguistically Perturbed Natural Questions for Evaluating the Robustness of Question Matching Models. In Yoav Goldberg, Zornitsa Kozareva, Yue Zhang, editors, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11. pages 7782-7794, Association for Computational Linguistics, 2022. [doi]

Abstract

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