| Challenge: | Existing tools for data annotation do not provide comprehensive support for quality assurance. |
| Approach: | They propose a QA tool for information extraction that detects potential problems in text annotations in a timely manner and accurately assesses the quality of annotations. |
| Outcome: | The proposed tool can detect potential problems in text annotations in a timely manner, accurately assess the quality of annotations, and visually display and summarize annotation discrepancies among annotation team members. |
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Kuan-Hao Huang, I-Hung Hsu, Tanmay Parekh, Zhiyu Xie, Zixuan Zhang, Prem Natarajan, Kai-Wei Chang, Nanyun Peng, Heng Ji
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