TY - DATA
T1 - Morality is Non-Binary: Building a Pluralist Moral Sentence Embedding Space using Contrastive Learning - models
PY - 2024/01/30
AU - Jeongwoo Park
AU - Enrico Liscio
AU - Pradeep K. Murukannaiah
UR - 
DO - 10.4121/e0d75aad-6cd1-45dd-a5ec-985e399337b4.v1
KW - Natural Language Processing
KW - Morality
KW - Sentence Embeddings
KW - Contrastive Learning
N2 - <p>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.</p>
ER -