Morality is Non-Binary: Building a Pluralist Moral Sentence Embedding Space using Contrastive Learning - models
收藏DataCite Commons2024-01-30 更新2024-07-03 收录
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https://data.4tu.nl/datasets/e0d75aad-6cd1-45dd-a5ec-985e399337b4
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资源简介：
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.
提供机构：
4TU.ResearchData
创建时间：
2024-01-30
