@inproceedings{kasner-etal-2024-factgenie-framework,
    title = "factgenie: A Framework for Span-based Evaluation of Generated Texts",
    author = "Kasner, Zden{\v{e}}k  and
      Platek, Ondrej  and
      Schmidtova, Patricia  and
      Balloccu, Simone  and
      Dusek, Ondrej",
    editor = "Mahamood, Saad  and
      Minh, Nguyen Le  and
      Ippolito, Daphne",
    booktitle = "Proceedings of the 17th International Natural Language Generation Conference: System Demonstrations",
    month = sep,
    year = "2024",
    address = "Tokyo, Japan",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2024.inlg-demos.5/",
    pages = "13--15",
    abstract = "We present {\textquoteleft}factgenie{\textquoteleft}: a framework for annotating and visualizing word spans in textual model outputs. Annotations can capture various span-based phenomena such as semantic inaccuracies or irrelevant text. With {\textquoteleft}factgenie{\textquoteleft}, the annotations can be collected both from human crowdworkers and large language models. Our framework consists of a web interface for data visualization and gathering text annotations, powered by an easily extensible codebase."
}