Morality is Non-Binary: Building a Pluralist Moral Sentence Embedding Space using Contrastive Learning - models



We train embedding spaces with the MFTC corpus, to see how an embedding space can learn the distribution of pluralist morality. We compare off-the-shelf, unsupervised, and supervised approaches, showing that a supervised approach is necessary. Here, you can find the models we trained with unsupervised and supervised approaches.
Date made available30 Jan 2024
PublisherTU Delft - 4TU.ResearchData
Date of data production2024 -

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