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README.md

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 ## Model Description
 
-This transformer-based model is designed to extrapolate affective norms for German words, including metrics such as valence, arousal, and dominance. It has been fine-tuned from the German BERT Model (https://huggingface.co/dbmdz/bert-base-german-uncased), 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."
+This transformer-based model is designed to extrapolate affective norms for German words, including metrics such as valence, arousal, and dominance. It has been fine-tuned from the German BERT Model (https://huggingface.co/dbmdz/bert-base-german-uncased), 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]
 
 ## Training Data