@inproceedings{liu-etal-2022-partial,
    title = "Partial Could Be Better than Whole. {HW}-{TSC} 2022 Submission for the Metrics Shared Task",
    author = "Liu, Yilun  and
      Qiao, Xiaosong  and
      Wu, Zhanglin  and
      Chang, Su  and
      Zhang, Min  and
      Zhao, Yanqing  and
      Peng, Song  and
      Tao, Shimin  and
      Yang, Hao  and
      Qin, Ying  and
      Guo, Jiaxin  and
      Wang, Minghan  and
      Li, Yinglu  and
      Li, Peng  and
      Zhao, Xiaofeng",
    booktitle = "Proceedings of the Seventh Conference on Machine Translation (WMT)",
    month = dec,
    year = "2022",
    address = "Abu Dhabi, United Arab Emirates (Hybrid)",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.wmt-1.48",
    pages = "549--557",
    abstract = "In this paper, we present the contribution of HW-TSC to WMT 2022 Metrics Shared Task. We propose one reference-based metric, HWTSC-EE-BERTScore*, and four referencefree metrics including HWTSC-Teacher-Sim, HWTSC-TLM, KG-BERTScore and CROSSQE. Among these metrics, HWTSC-Teacher-Sim and CROSS-QE are supervised, whereas HWTSC-EE-BERTScore*, HWTSC-TLM and KG-BERTScore are unsupervised. We use these metrics in the segment-level and systemlevel tracks. Overall, our systems achieve strong results for all language pairs on previous test sets and a new state-of-the-art in many sys-level case sets.",
}