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README.md
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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This model is intended to predict emotions (valence, arousal) in written stories. For all details see [the paper (TODO)](#) and [the accompanying github repo (TODO)](#).
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### Model Description
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Technically, this model predicts token-wise valence/arousal values. Sentences are concatenated via the ``<s>`` token, where the valence/arousal predictions for an ``<s>`` token
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are meant to be the predictions for the sentence preceding it. All other tokens' predictions should be ignored. For reference, see the figure in the paper:
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The [accompanying repo](TODO) provides a convenient script to use the model for prediction.
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<!-- Provide the basic links for the model. -->
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- **Repository:** [
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- **Paper:** [
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## Uses
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[More Information Needed]
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**APA:**
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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## Model Card Contact
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language:
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---
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### Emotion Prediction for Written Stories
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<!-- Provide a quick summary of what the model is/does. -->
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This model is intended to predict emotions (valence, arousal) in written stories. For all details see [the paper (TODO)](#) and [the accompanying github repo (TODO)](#).
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### Model Description
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Technically, this model predicts token-wise valence/arousal values. Sentences are concatenated via the ``<s>`` token, where the valence/arousal predictions for an ``<s>`` token
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are meant to be the predictions for the sentence preceding it. All other tokens' predictions should be ignored. For reference, see the figure in the paper:
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![image](tales_vertical.png)
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The [accompanying repo](TODO) provides a convenient script to use the model for prediction.
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<!-- Provide the basic links for the model. -->
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- **Repository:** [Github](TODO)
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- **Paper:** [ArXiv](TODO)
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## Uses
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[More Information Needed]
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## Model Card Contact
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For further inquiries, please contact lukas1[dot]christ[at]uni-a[dot].de
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