@inproceedings{asghari-hewett-2022-hiig,
    title = "{HIIG} at {G}erm{E}val 2022: Best of Both Worlds Ensemble for Automatic Text Complexity Assessment",
    author = "Asghari, Hadi  and
      Hewett, Freya",
    editor = {M{\"o}ller, Sebastian  and
      Mohtaj, Salar  and
      Naderi, Babak},
    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://preview.aclanthology.org/Author-page-Marten-During-lu/2022.germeval-1.3/",
    pages = "15--20",
    abstract = "In this paper we explain HIIG`s contribution to the shared task Text Complexity DE Challenge 2022. Our best-performing model for the task of automatically determining the complexity level of a German-language sentence is a combination of a transformer model and a classic feature-based model, which achieves a mapped root square mean error of 0.446 on the test data."
}