@inproceedings{wiechmann-etal-2021-activeanno,
    title = "{A}ctive{A}nno: General-Purpose Document-Level Annotation Tool with Active Learning Integration",
    author = "Wiechmann, Max  and
      Yimam, Seid Muhie  and
      Biemann, Chris",
    editor = "Sil, Avi  and
      Lin, Xi Victoria",
    booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations",
    month = jun,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2021.naacl-demos.12/",
    doi = "10.18653/v1/2021.naacl-demos.12",
    pages = "99--105",
    abstract = "ActiveAnno is an annotation tool focused on document-level annotation tasks developed both for industry and research settings. It is designed to be a general-purpose tool with a wide variety of use cases. It features a modern and responsive web UI for creating annotation projects, conducting annotations, adjudicating disagreements, and analyzing annotation results. ActiveAnno embeds a highly configurable and interactive user interface. The tool also integrates a RESTful API that enables integration into other software systems, including an API for machine learning integration. ActiveAnno is built with extensible design and easy deployment in mind, all to enable users to perform annotation tasks with high efficiency and high-quality annotation results."
}