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DOI: 10.4121/e0d75aad-6cd1-45dd-a5ec-985e399337b4

Park, Jeongwoo; Liscio, Enrico; Murukannaiah, Pradeep K. (2024): Morality is Non-Binary: Building a Pluralist Moral Sentence Embedding Space using Contrastive Learning - models. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/e0d75aad-6cd1-45dd-a5ec-985e399337b4.v1

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Categories

• Artificial Intelligence and Image Processing
• Information and Computing Sciences

Keywords

Contrastive Learning Morality Natural Language Processing Sentence Embeddings

Licence

CC BY 4.0

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by Jeongwoo Park , Enrico Liscio , Pradeep K. Murukannaiah

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.

History

• 2024-01-30 first online, published, posted

Publisher

4TU.ResearchData

Format

pytorch_model.bin

Data link

https://doi.org/10.4121/a3e5abdf-f777-4105-be40-fb9b2e3fed92

Funding

• Hybrid Intelligence Center (a 10-year programme funded by the Dutch Ministry of Education, Culture and Science through the Netherlands Organisation for Scientific Research).

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems