Papers with pluralist moral sentence embedding space

1 papers
Morality is Non-Binary: Building a Pluralist Moral Sentence Embedding Space using Contrastive Learning (2024.findings-eacl)

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Challenge: Existing NLP methods treat morality as binary, ranging from right to wrong.
Approach: They propose to build a pluralist moral sentence embedding space using contrastive learning methods to examine relationships among moral elements.
Outcome: The proposed method shows that pluralism can be captured in an embedding space.

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