POTATO: The Portable Text Annotation Tool
Jiaxin Pei | Aparna Ananthasubramaniam | Xingyao Wang | Naitian Zhou | Apostolos Dedeloudis | Jackson Sargent | David Jurgens
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
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.
- Jiaxin Pei 1
- Aparna Ananthasubramaniam 1
- Xingyao Wang 1
- Naitian Zhou 1
- Jackson Sargent 1
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