@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://aclanthology.org/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}.",
}
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%0 Conference Proceedings
%T Annobot: Platform for Annotating and Creating Datasets through Conversation with a Chatbot
%A Poświata, Rafał
%A Perełkiewicz, Michał
%Y Ptaszynski, Michal
%Y Ziolko, Bartosz
%S Proceedings of the 28th International Conference on Computational Linguistics: System Demonstrations
%D 2020
%8 December
%I International Committee on Computational Linguistics (ICCL)
%C Barcelona, Spain (Online)
%F poswiata-perelkiewicz-2020-annobot
%X 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 https://github.com/rafalposwiata/annobot.
%R 10.18653/v1/2020.coling-demos.14
%U https://aclanthology.org/2020.coling-demos.14
%U https://doi.org/10.18653/v1/2020.coling-demos.14
%P 75-79
Markdown (Informal)
[Annobot: Platform for Annotating and Creating Datasets through Conversation with a Chatbot](https://aclanthology.org/2020.coling-demos.14) (Poświata & Perełkiewicz, COLING 2020)
ACL