@inproceedings{song-etal-2023-arthur,
    title = "Arthur Caplan at {S}em{E}val-2023 Task 4: Enhancing Human Value Detection through Fine-tuned Pre-trained Models",
    author = "Song, Xianxian  and
      Zhao, Jinhui  and
      Cao, Ruiqi  and
      Sui, Linchi  and
      Li, Binyang  and
      Guan, Tingyue",
    editor = {Ojha, Atul Kr.  and
      Do{\u{g}}ru{\"o}z, A. Seza  and
      Da San Martino, Giovanni  and
      Tayyar Madabushi, Harish  and
      Kumar, Ritesh  and
      Sartori, Elisa},
    booktitle = "Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.semeval-1.268",
    doi = "10.18653/v1/2023.semeval-1.268",
    pages = "1953--1959",
    abstract = "The computational identification of human values is a novel and challenging research that holds the potential to offer valuable insights into the nature of human behavior and cognition. This paper presents the methodology adopted by the Arthur-Caplan research team for the SemEval-2023 Task 4, which entailed the detection of human values behind arguments. The proposed system integrates BERT, ERNIE2.0, RoBERTA and XLNet models with fine tuning. Experimental results show that the macro F1 score of our system achieved 0.512, which overperformed baseline methods by 9.2{\%} on the test set.",
}

The computational identification of human values is a novel and challenging research that holds the potential to offer valuable insights into the nature of human behavior and cognition. This paper presents the methodology adopted by the Arthur-Caplan research team for the SemEval-2023 Task 4, which entailed the detection of human values behind arguments. The proposed system integrates BERT, ERNIE2.0, RoBERTA and XLNet models with fine tuning. Experimental results show that the macro F1 score of our system achieved 0.512, which overperformed baseline methods by 9.2{\%} on the test set.
Song, Xianxian Zhao, Jinhui Cao, Ruiqi Sui, Linchi Li, Binyang Guan, Tingyue
Arthur Caplan at SemEval-2023 Task 4: Enhancing Human Value Detection through Fine-tuned Pre-trained Models