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Morality is Non-Binary: Building a Pluralist Moral Sentence Embedding Space using Contrastive Learning - code

Morality is Non-Binary: Building a Pluralist Moral Sentence Embedding Space using Contrastive Learning - code

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Description

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.

Logo of Morality is Non-Binary: Building a Pluralist Moral Sentence Embedding Space using Contrastive Learning - code
Keywords
Contrastive Learning
Morality
Natural Language Processing
Sentence Embeddings
Programming languages
License
  • MIT
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Contributors

EL

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4TU