@inproceedings{sorensen-etal-2024-eevee,
    title = "{EEVEE}: An Easy Annotation Tool for Natural Language Processing",
    author = "Sorensen, Axel  and
      Peng, Siyao  and
      Plank, Barbara  and
      Van Der Goot, Rob",
    editor = "Henning, Sophie  and
      Stede, Manfred",
    booktitle = "Proceedings of the 18th Linguistic Annotation Workshop (LAW-XVIII)",
    month = mar,
    year = "2024",
    address = "St. Julians, Malta",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2024.law-1.20/",
    pages = "216--221",
    abstract = "Annotation tools are the starting point for creating Natural Language Processing (NLP) datasets. There is a wide variety of tools available; setting up these tools is however a hindrance. We propose Eevee, an annotation tool focused on simplicity, efficiency, and ease of use. It can run directly in the browser (no setup required) and uses tab-separated files (as opposed to character offsets or task-specific formats) for annotation. It allows for annotation of multiple tasks on a single dataset and supports four task-types: sequence labeling, span labeling, text classification and seq2seq."
}