Distilbert German Text Complexity

🚀 Model Card for DistilBERT German Text Complexity

This model is a fine - tuned version of [distilbert - base - german - cased](https://huggingface.co/distilbert - base - german - cased) for predicting text complexity on a scale from 1 to 7.

🚀 Quick Start

Direct Use

To use this model, use our eval_distilbert.py script.

✨ Features

This model is a fine - tuned version of the [distilbert - base - german - cased](https://huggingface.co/distilbert - base - german - cased) and contributes to the GermEval 2022 shared task on text complexity prediction.

🔧 Technical Details

The model was fine - tuned on the dataset by Naderi et al, 2019. For further details, visit our [KONVENS paper](https://aclanthology.org/2022.germeval - 1.4/).

📄 License

This model is licensed under cc - by - sa - 4.0.

📚 Documentation

Citation

Please cite our [KONVENS 2022 paper](https://aclanthology.org/2022.germeval - 1.4/), if you use our model. BibTeX:

@inproceedings{anschutz - groh - 2022 - tum,
    title = "{TUM} Social Computing at {G}erm{E}val 2022: Towards the Significance of Text Statistics and Neural Embeddings in Text Complexity Prediction",
    author = {Ansch{\"u}tz, Miriam  and
      Groh, Georg},
    booktitle = "Proceedings of the GermEval 2022 Workshop on Text Complexity Assessment of German Text",
    month = sep,
    year = "2022",
    address = "Potsdam, Germany",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.germeval - 1.4",
    pages = "21--26",
}