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Best Practices for Managing Data Annotation Projects
arXiv - CS - Social and Information Networks Pub Date : 2020-09-24 , DOI: arxiv-2009.11654
Tina Tseng and Amanda Stent and Domenic Maida

Annotation is the labeling of data by human effort. Annotation is critical to modern machine learning, and Bloomberg has developed years of experience of annotation at scale. This report captures a wealth of wisdom for applied annotation projects, collected from more than 30 experienced annotation project managers in Bloomberg's Global Data department.

中文翻译:

管理数据注释项目的最佳实践

注释是通过人工对数据进行标记。注释对现代机器学习至关重要,彭博在大规模注释方面积累了多年经验。本报告从彭博全球数据部门的 30 多位经验丰富的注释项目经理那里收集了大量应用注释项目的智慧。
更新日期:2020-09-25
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