%0 Generic %A Park, Jeongwoo %A Liscio, Enrico %A Murukannaiah, Pradeep K. %D 2024 %T Morality is Non-Binary: Building a Pluralist Moral Sentence Embedding Space using Contrastive Learning - models %U %R 10.4121/e0d75aad-6cd1-45dd-a5ec-985e399337b4.v1 %K Natural Language Processing %K Morality %K Sentence Embeddings %K Contrastive Learning %X
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.
%I 4TU.ResearchData