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.
Cite
CITATION STYLE
Ferrara, A., Picascia, S., & Rocchetti, E. (2023). Augustine Of Hippo at SemEval-2023 Task 4: An Explainable Knowledge Extraction Method to Identify Human Values in Arguments with SuperASKE. In 17th International Workshop on Semantic Evaluation, SemEval 2023 - Proceedings of the Workshop (pp. 1044–1053). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.semeval-1.143
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