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.
- 2024-01-30 first online, published, posted
- Hybrid Intelligence Center (a 10-year programme funded by the Dutch Ministry of Education, Culture and Science through the Netherlands Organisation for Scientific Research).