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Augustine of Hippo at SemEval-2023 Task 4: An Explainable Knowledge Extraction Method to Identify Human Values in Arguments with SuperASKE
Alfio Ferrara, Sergio Picascia, Elisabetta Rocchetti
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.
Research area
alignmentexplainabilityinterpretabilitylatent space geometrymechanistic interpretability
Published
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Source
other
Org
University of Milan
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