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README.md
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## Model Description
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This transformer-based model is designed to extrapolate affective norms for English words, including metrics such as valence, arousal, dominance, concreteness, and age of acquisition. It has been finetuned from the ERNIE 2.0 model, enhanced with additional layers to predict the affective dimensions. This model was first released as a part of the publication: "Extrapolation of affective norms using transformer-based neural networks and its application to experimental stimuli selection."
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## Training Data
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## Model Description
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This transformer-based model is designed to extrapolate affective norms for English words, including metrics such as valence, arousal, dominance, concreteness, and age of acquisition. It has been finetuned from the ERNIE 2.0 model, enhanced with additional layers to predict the affective dimensions. This model was first released as a part of the publication: "Extrapolation of affective norms using transformer-based neural networks and its application to experimental stimuli selection." (Plisiecki, Sobieszek; 2023) [https://doi.org/10.3758/s13428-023-02212-3]
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## Training Data
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