@inproceedings{ferrara-etal-2023-augustine,
    title = "Augustine of Hippo at {S}em{E}val-2023 Task 4: An Explainable Knowledge Extraction Method to Identify Human Values in Arguments with {S}uper{ASKE}",
    author = "Ferrara, Alfio  and
      Picascia, Sergio  and
      Rocchetti, Elisabetta",
    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-1.143",
    doi = "10.18653/v1/2023.semeval-1.143",
    pages = "1044--1053",
    abstract = "In this paper we present and discuss the results achieved by the {``}Augustine of Hippo{''} team at SemEval-2023 Task 4 about human value detection. In particular, we provide a quantitative and qualitative reviews of the results obtained by SuperASKE, discussing respectively performance metrics and classification errors. Finally, we present our main contribution: an explainable and unsupervised approach mapping arguments to concepts, followed by a supervised classification model mapping concepts to human values.",
}

In this paper we present and discuss the results achieved by the {``}Augustine of Hippo{''} team at SemEval-2023 Task 4 about human value detection. In particular, we provide a quantitative and qualitative reviews of the results obtained by SuperASKE, discussing respectively performance metrics and classification errors. Finally, we present our main contribution: an explainable and unsupervised approach mapping arguments to concepts, followed by a supervised classification model mapping concepts to human values.
Ferrara, Alfio Picascia, Sergio Rocchetti, Elisabetta
Augustine of Hippo at SemEval-2023 Task 4: An Explainable Knowledge Extraction Method to Identify Human Values in Arguments with SuperASKE