Document Understanding 用户指南

有几种类型的多选字段使用复选框：

另一个重要方面是给定多选字段的可用选项数量。在某些情况下，可能只有一个选项，即复选框是否处于选中状态，而在其他情况下，可能有 10、20 或更多选项，以网格或表格的形式排列，就像许多体检表单一样。

您可以通过两种主要方式来为这些类型的多项选择字段添加标签。

Let's take an example to understand how you can label the options. Forms can include the options Project or Policy. In this case, you only have one field, and you only label the selected word, i.e. label the word Project if the checkbox next to it is checked or the word Policy if the checkbox next to it is checked. If neither is checked then you label neither, and both being checked is not possible, and such documents would just be deleted from the training set.

此方法的优点是您只有一个字段，需要的数据较少。它的另一个优点是不依赖于复选框的成功检测。如果复选框被检测为字母 X，则模型仍可以学习去识别这意味着它旁边的选项已被选中。

The disadvantage is that you need to make sure both options are roughly equally represented, which is not always the case. Potentially, in your training set, 90% of the documents might have Project checked. In this case, the model cannot perform well and this approach fails. The problem gets worse when you have more options because some of them are almost always rare. In these cases you may need to create fake documents with the rare options checked to balance things out.

这也使添加标签更容易，对复选框检测错误不那么敏感，但可能对不平衡的选项更敏感，就像第一个选项一样。

Starting with the 2022.4 LTS Enterprise release, signatures can be detected using the UiPath Document OCR, hence, Machine Learning Models can directly detect signatures.

像在文档中为任何其他字段添加标签一样，为签名添加标签。只要被 UiPath 文档 OCR 检测到，机器学习模型就会学习将该字段识别为签名。