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    <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 https://github.com/rafalposwiata/annobot.</abstract>
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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)

• Annobot: Platform for Annotating and Creating Datasets through Conversation with a Chatbot (Poświata & Perełkiewicz, COLING 2020)

ACL

• Rafał Poświata and Michał Perełkiewicz. 2020. Annobot: Platform for Annotating and Creating Datasets through Conversation with a Chatbot. In Proceedings of the 28th International Conference on Computational Linguistics: System Demonstrations, pages 75–79, Barcelona, Spain (Online). International Committee on Computational Linguistics (ICCL).