@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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T Augustine of Hippo at SemEval-2023 Task 4: An Explainable Knowledge Extraction Method to Identify Human Values in Arguments with SuperASKE
%A Ferrara, Alfio
%A Picascia, Sergio
%A Rocchetti, Elisabetta
%Y Ojha, Atul Kr.
%Y Doğruöz, A. Seza
%Y Da San Martino, Giovanni
%Y Tayyar Madabushi, Harish
%Y Kumar, Ritesh
%Y Sartori, Elisa
%S Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F ferrara-etal-2023-augustine
%X 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.
%R 10.18653/v1/2023.semeval-1.143
%U https://aclanthology.org/2023.semeval-1.143
%U https://doi.org/10.18653/v1/2023.semeval-1.143
%P 1044-1053
Markdown (Informal)
[Augustine of Hippo at SemEval-2023 Task 4: An Explainable Knowledge Extraction Method to Identify Human Values in Arguments with SuperASKE](https://aclanthology.org/2023.semeval-1.143) (Ferrara et al., SemEval 2023)
ACL