@inproceedings{zaghir-etal-2025-bratly,
    title = "Bratly: A Python Extension for {BRAT} Functionalities",
    author = "Zaghir, Jamil  and
      Goldman, Jean-Philippe  and
      Bjelogrlic, Nikola  and
      Bjelogrlic, Mina  and
      Lovis, Christian",
    editor = {Habernal, Ivan  and
      Schulam, Peter  and
      Tiedemann, J{\"o}rg},
    booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.emnlp-demos.73/",
    pages = "943--949",
    ISBN = "979-8-89176-334-0",
    abstract = "BRAT is a widely used web-based text annotation tool. However, it lacks robust Python support for effective annotation management and processing. We present Bratly, an open-source extension of BRAT that introduces a solid Python backend, enabling advanced functionalities such as annotation typings, collection typings with statistical insights, corpus and annotation handling, object modifications, and entity-level evaluation based on MUC-5 standards. These enhancements streamline annotation workflows, improve usability, and facilitate high-quality NLP research. This paper outlines the system{'}s architecture, functionalities and evaluation, positioning it as a valuable BRAT extension for its users. The tool is open-source, and the NLP community is welcome to suggest improvements."
}