对比两种标注方式，发现标准化标注更适合日期地点，原样标注更适合姓名。
Normalized vs Diplomatic Annotation: A Case Study of Automatic Information Extraction from Handwritten Uruguayan Birth Certificates
- 用文档注意力网络提取手写出生证信息，仅需少量标注数据。
- 标准化标注在日期、地点上准确率更高，原样标注在姓名上表现更优。
- 适用于手写文档信息抽取任务，尤其关注标注策略选择。
本研究评估了近期提出的文档注意力网络（Document Attention Network, DAN）在提取乌拉圭手写西班牙语出生证关键信息方面的效果。通过在两个数据集上进行实验，这两个数据集包含相同的201张出生证扫描图（由15位以上不同书写者书写），但采用不同的标注方法。结果表明，对于可标准化的字段（如出生日期和地点），标准化标注更为有效；而对于无法标准化的字段（如姓名和姓氏），原样标注（diplomatic annotation）表现更佳。该研究为手写文档自动转录中的标注策略选择提供了实证依据。
原文摘要 · Abstract (English)
This study evaluates the recently proposed Document Attention Network (DAN) for extracting key-value information from Uruguayan birth certificates, handwritten in Spanish. We investigate two annotation strategies for automatically transcribing handwritten documents, fine-tuning DAN with minimal training data and annotation effort. Experiments were conducted on two datasets containing the same images (201 scans of birth certificates written by more than 15 different writers) but with different annotation methods. Our findings indicate that normalized annotation is more effective for fields that can be standardized, such as dates and places of birth, whereas diplomatic annotation performs much better for fields containing names and surnames, which can not be standardized.
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