@inproceedings{pei-etal-2022-potato,
title = "{POTATO}: The Portable Text Annotation Tool",
author = "Pei, Jiaxin and
Ananthasubramaniam, Aparna and
Wang, Xingyao and
Zhou, Naitian and
Dedeloudis, Apostolos and
Sargent, Jackson and
Jurgens, David",
editor = "Che, Wanxiang and
Shutova, Ekaterina",
booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
month = dec,
year = "2022",
address = "Abu Dhabi, UAE",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.emnlp-demos.33",
doi = "10.18653/v1/2022.emnlp-demos.33",
pages = "327--337",
abstract = "We present POTATO, the Portable text annotation tool, a free, fully open-sourced annotation system that 1) supports labeling many types of text and multimodal data; 2) offers easy-to-configure features to maximize the productivity of both deployers and annotators (convenient templates for common ML/NLP tasks, active learning, keypress shortcuts, keyword highlights, tooltips); and 3) supports a high degree of customization (editable UI, inserting pre-screening questions, attention and qualification tests). Experiments over two annotation tasks suggest that POTATO improves labeling speed through its specially-designed productivity features, especially for long documents and complex tasks. POTATO is available at \url{https://github.com/davidjurgens/potato} and will continue to be updated.",
}
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%0 Conference Proceedings
%T POTATO: The Portable Text Annotation Tool
%A Pei, Jiaxin
%A Ananthasubramaniam, Aparna
%A Wang, Xingyao
%A Zhou, Naitian
%A Dedeloudis, Apostolos
%A Sargent, Jackson
%A Jurgens, David
%Y Che, Wanxiang
%Y Shutova, Ekaterina
%S Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
%D 2022
%8 December
%I Association for Computational Linguistics
%C Abu Dhabi, UAE
%F pei-etal-2022-potato
%X We present POTATO, the Portable text annotation tool, a free, fully open-sourced annotation system that 1) supports labeling many types of text and multimodal data; 2) offers easy-to-configure features to maximize the productivity of both deployers and annotators (convenient templates for common ML/NLP tasks, active learning, keypress shortcuts, keyword highlights, tooltips); and 3) supports a high degree of customization (editable UI, inserting pre-screening questions, attention and qualification tests). Experiments over two annotation tasks suggest that POTATO improves labeling speed through its specially-designed productivity features, especially for long documents and complex tasks. POTATO is available at https://github.com/davidjurgens/potato and will continue to be updated.
%R 10.18653/v1/2022.emnlp-demos.33
%U https://aclanthology.org/2022.emnlp-demos.33
%U https://doi.org/10.18653/v1/2022.emnlp-demos.33
%P 327-337
Markdown (Informal)
[POTATO: The Portable Text Annotation Tool](https://aclanthology.org/2022.emnlp-demos.33) (Pei et al., EMNLP 2022)
ACL
- Jiaxin Pei, Aparna Ananthasubramaniam, Xingyao Wang, Naitian Zhou, Apostolos Dedeloudis, Jackson Sargent, and David Jurgens. 2022. POTATO: The Portable Text Annotation Tool. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 327–337, Abu Dhabi, UAE. Association for Computational Linguistics.