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.- Anthology ID:
- 2023.semeval-1.143
- Volume:
- Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)
- Month:
- July
- Year:
- 2023
- Address:
- Toronto, Canada
- Editors:
- Atul Kr. Ojha, A. Seza Doğruöz, Giovanni Da San Martino, Harish Tayyar Madabushi, Ritesh Kumar, Elisa Sartori
- Venue:
- SemEval
- SIG:
- SIGLEX
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1044–1053
- Language:
- URL:
- https://aclanthology.org/2023.semeval-1.143
- DOI:
- 10.18653/v1/2023.semeval-1.143
- Cite (ACL):
- Alfio Ferrara, Sergio Picascia, and Elisabetta Rocchetti. 2023. Augustine of Hippo at SemEval-2023 Task 4: An Explainable Knowledge Extraction Method to Identify Human Values in Arguments with SuperASKE. In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), pages 1044–1053, Toronto, Canada. Association for Computational Linguistics.
- Cite (Informal):
- Augustine of Hippo at SemEval-2023 Task 4: An Explainable Knowledge Extraction Method to Identify Human Values in Arguments with SuperASKE (Ferrara et al., SemEval 2023)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-1/2023.semeval-1.143.pdf