@inproceedings{nghiem-etal-2021-paladin,
    title = "Paladin: an annotation tool based on active and proactive learning",
    author = "Nghiem, Minh-Quoc  and
      Baylis, Paul  and
      Ananiadou, Sophia",
    editor = "Gkatzia, Dimitra  and
      Seddah, Djam{\'e}",
    booktitle = "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations",
    month = apr,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2021.eacl-demos.28/",
    doi = "10.18653/v1/2021.eacl-demos.28",
    pages = "238--243",
    abstract = "In this paper, we present Paladin, an open-source web-based annotation tool for creating high-quality multi-label document-level datasets. By integrating active learning and proactive learning to the annotation task, Paladin makes the task less time-consuming and requiring less human effort. Although Paladin is designed for multi-label settings, the system is flexible and can be adapted to other tasks in single-label settings."
}