%0 Computer Program %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 - code %U %R 10.4121/a3e5abdf-f777-4105-be40-fb9b2e3fed92.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 code used to train and evaluate the resulting embedding spaces.
%I 4TU.ResearchData