@inproceedings{poswiata-perelkiewicz-2020-annobot,
    title = "Annobot: Platform for Annotating and Creating Datasets through Conversation with a Chatbot",
    author = "Po{\'s}wiata, Rafa{\l}  and
      Pere{\l}kiewicz, Micha{\l}",
    editor = "Ptaszynski, Michal  and
      Ziolko, Bartosz",
    booktitle = "Proceedings of the 28th International Conference on Computational Linguistics: System Demonstrations",
    month = dec,
    year = "2020",
    address = "Barcelona, Spain (Online)",
    publisher = "International Committee on Computational Linguistics (ICCL)",
    url = "https://preview.aclanthology.org/ingest-emnlp/2020.coling-demos.14/",
    doi = "10.18653/v1/2020.coling-demos.14",
    pages = "75--79",
    abstract = "In this paper, we introduce Annobot: a platform for annotating and creating datasets through conversation with a chatbot. This natural form of interaction has allowed us to create a more accessible and flexible interface, especially for mobile devices. Our solution has a wide range of applications such as data labelling for binary, multi-class/label classification tasks, preparing data for regression problems, or creating sets for issues such as machine translation, question answering or text summarization. Additional features include pre-annotation, active sampling, online learning and real-time inter-annotator agreement. The system is integrated with the popular messaging platform: Facebook Messanger. Usability experiment showed the advantages of the proposed platform compared to other labelling tools. The source code of Annobot is available under the GNU LGPL license at \url{https://github.com/rafalposwiata/annobot}."
}