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.
Augustine of Hippo at SemEval-2023 Task 4: An Explainable Knowledge Extraction Method to Identify Human Values in Arguments with SuperASKE / A. Ferrara, S. Picascia, E. Rocchetti - In: Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)[s.l] : Association for Computational Linguistics, 2023 Jul. - ISBN 978-1-959429-99-9. - pp. 1044-1053 (( Intervento presentato al 17. convegno Semantic Evaluation nel 2023 [10.18653/v1/2023.semeval-1.143].
Augustine of Hippo at SemEval-2023 Task 4: An Explainable Knowledge Extraction Method to Identify Human Values in Arguments with SuperASKE
A. Ferrara;S. Picascia;E. Rocchetti
2023
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.
| File | Dimensione | Formato | |
|---|---|---|---|
|
2023.semeval-1.143.pdf
accesso aperto
Tipologia:
Publisher's version/PDF
Dimensione
1.53 MB
Formato
Adobe PDF
|
1.53 MB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
