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Computer Science > Computation and Language

arXiv:2212.08620 (cs)
[Submitted on 16 Dec 2022 (v1), last revised 23 Mar 2023 (this version, v2)]

Title:POTATO: The Portable Text Annotation Tool

Authors:Jiaxin Pei, Aparna Ananthasubramaniam, Xingyao Wang, Naitian Zhou, Jackson Sargent, Apostolos Dedeloudis, David Jurgens
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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 this https URL and will continue to be updated.
Comments: EMNLP 2022 DEMO
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Computers and Society (cs.CY); Human-Computer Interaction (cs.HC); Machine Learning (cs.LG)
Cite as: arXiv:2212.08620 [cs.CL]
  (or arXiv:2212.08620v2 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2212.08620

Submission history

From: Jiaxin Pei [view email]
[v1] Fri, 16 Dec 2022 17:57:41 UTC (8,209 KB)
[v2] Thu, 23 Mar 2023 18:45:37 UTC (8,209 KB)
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