@inproceedings{phan-etal-2022-nlp,
    title = "{NLP}@{UIT} at {F}ig{L}ang-{EMNLP} 2022: A Divide-and-Conquer System For Shared Task On Understanding Figurative Language",
    author = "Phan, Khoa Thi-Kim  and
      Nguyen, Duc-Vu  and
      Nguyen, Ngan Luu-Thuy",
    editor = "Ghosh, Debanjan  and
      Beigman Klebanov, Beata  and
      Muresan, Smaranda  and
      Feldman, Anna  and
      Poria, Soujanya  and
      Chakrabarty, Tuhin",
    booktitle = "Proceedings of the 3rd Workshop on Figurative Language Processing (FLP)",
    month = dec,
    year = "2022",
    address = "Abu Dhabi, United Arab Emirates (Hybrid)",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2022.flp-1.21/",
    doi = "10.18653/v1/2022.flp-1.21",
    pages = "150--153",
    abstract = "This paper describes our submissions to the EMNLP 2022 shared task on Understanding Figurative Language as part of the Figurative Language Workshop (FigLang 2022). Our systems based on pre-trained language model T5 are divide-and-conquer models which can address both two requirements of the task: 1) classification, and 2) generation. In this paper, we introduce different approaches in which each approach we employ a processing strategy on input model. We also emphasize the influence of the types of figurative language on our systems."
}