@inproceedings{kung-etal-2021-efficient,
    title = "Efficient Multi-Task Auxiliary Learning: Selecting Auxiliary Data by Feature Similarity",
    author = "Kung, Po-Nien  and
      Yin, Sheng-Siang  and
      Chen, Yi-Cheng  and
      Yang, Tse-Hsuan  and
      Chen, Yun-Nung",
    editor = "Moens, Marie-Francine  and
      Huang, Xuanjing  and
      Specia, Lucia  and
      Yih, Scott Wen-tau",
    booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2021",
    address = "Online and Punta Cana, Dominican Republic",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/2021.emnlp-main.34/",
    doi = "10.18653/v1/2021.emnlp-main.34",
    pages = "416--428"
}