@inproceedings{salar-mohtaj-babak-naderi-2022-overview,
    title = "Overview of the {G}erm{E}val 2022 Shared Task on Text Complexity Assessment of {G}erman Text",
    author = {Mohtaj, Salar  and
      Naderi, Babak  and
      M{\"o}ller, Sebastian},
    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-1.1",
    pages = "1--9",
    abstract = "In this paper we present the GermEval 2022 shared task on Text Complexity Assessment of German text. Text forms an integral part of exchanging information and interacting with the world, correlating with quality and experience of life. Text complexity is one of the factors which affects a reader{'}s understanding of a text. The mapping of a body of text to a mathematical unit quantifying the degree of readability is the basis of complexity assessment. As readability might be influenced by representation, we only target the text complexity for readers in this task. We designed the task as text regression in which participants developed models to predict complexity of pieces of text for a German learner in a range from 1 to 7. The shared task is organized in two phases; the development and the test phases. Among 24 participants who registered for the shared task, ten teams submitted their results on the test data.",
}