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README.md
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@@ -14,7 +14,7 @@ This is a [sentence-transformers](https://www.SBERT.net) model that maps persona
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The model has been generated by fine-tuning [all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) using unsigned empirical correlations of 200k pairs of personality items. The model, therefore, encodes the content of personality-related texts independent of the direction (e.g., negation).
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See [Wulff & Mata (
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## Usage
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Performance can be higher on the many common personality items it has been trained on due to memorization (r ~ .9). Performance will be worse for more specialized personality assessments and texts beyond personality items, as well as for personality factors due to the reduced variance in correlations.
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See [Wulff & Mata (
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## Citing
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```
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@article{
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author = {Wulff, Dirk U. and Mata, Rui},
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title = {
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journal = {
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doi = {https://doi.org/10.
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}
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```
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The model has been generated by fine-tuning [all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) using unsigned empirical correlations of 200k pairs of personality items. The model, therefore, encodes the content of personality-related texts independent of the direction (e.g., negation).
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See [Wulff & Mata (2025)](https://doi.org/10.1038/s41562-024-02089-y) (see [Supplement](https://static-content.springer.com/esm/art%3A10.1038%2Fs41562-024-02089-y/MediaObjects/41562_2024_2089_MOESM1_ESM.pdf)) for details.
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## Usage
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Performance can be higher on the many common personality items it has been trained on due to memorization (r ~ .9). Performance will be worse for more specialized personality assessments and texts beyond personality items, as well as for personality factors due to the reduced variance in correlations.
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See [Wulff & Mata (2025)](https://doi.org/10.1038/s41562-024-02089-y) (see [Supplement](https://static-content.springer.com/esm/art%3A10.1038%2Fs41562-024-02089-y/MediaObjects/41562_2024_2089_MOESM1_ESM.pdf)) for details.
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## Citing
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```
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@article{wulff2024taxonomic,
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author = {Wulff, Dirk U. and Mata, Rui},
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title = {Semantic embeddings reveal and address taxonomic incommensurability in psychological measurement},
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journal = {Nature Human Behavior},
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doi = {https://doi.org/10.1038/s41562-024-02089-y}
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}
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```
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