论文标题

土豆:便携式文本注释工具

POTATO: The Portable Text Annotation Tool

论文作者

Pei, Jiaxin, Ananthasubramaniam, Aparna, Wang, Xingyao, Zhou, Naitian, Sargent, Jackson, Dedeloudis, Apostolos, Jurgens, David

论文摘要

我们提出马铃薯,即便携式文本注释工具,这是一个免费的,完全开源的注释系统,1)支持标记许多类型的文本和多模式数据; 2)提供易于配置的功能,以最大程度地提高部署者和注释者的生产率(通用ML/NLP任务,主动学习,键键式快捷方式,关键字亮点,工具提示的方便模板); 3)支持高度的自定义(可编辑UI,插入预筛选问题,注意力和资格测试)。两项注释任务的实验表明,马铃薯通过其专门设计的生产力特征提高了标签速度,尤其是用于长文档和复杂任务。马铃薯可在https://github.com/davidjurgens/potato上找到,并将继续更新。

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.

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