Document Understanding 用户指南

• UiPath.DocumentUnderstanding.Activities: all documents that were processed using this activity package and were validated in Validated Station are collected automatically and can be used for retraining.
• UiPath.IntelligentOCR.Activities (starting with version 6.25.0-preview): to retrain documents processed using this activity package, use the Document Understanding Project Extractor Trainer activity in your workflow. This allows documents to be collected for retraining purposes.

待审核的异常​

1. Select the Exceptions for review button.

2. Check the exception documents from the Exceptions for fine-tuning menu.

   每个文档都提供以下信息：

   • File name: the file name of the document containing an exception.
   • Status: the status of the document.
   • Pages: the number of pages that the document contains.
   • Project version: the project version that contains the document.
   • Processed date: the date when the document was processed.
   • No of extracted fields: the number of extracted fields for the document containing an exception.
   • No of corrected fields: the number of modified fields during validation step.
   • Validator name: the username of the person who validated the document.
   备注：

   The Exceptions for fine-tunning list may include documents imported from other Document Understanding projects or environments.

   

3. 从列表中选择你想要用于微调的文档。

   每个文档都提供以下信息：

   • All extracted fields are displayed, along with their model confidence. If the confidence value is N/A, this indicates that the field was not automatically extracted and was instead manually added by the validator.
   • 更正的字段的提取字段名称旁边标记有黄点。
   • 以下信息可用于所有更正的字段：
     • Predicted value: the value predicted by the model.
     • Corrected value: if changed manually, the value after validation. If the document type was not changed after validation, the value will be N/A.
     • Reference: the original value that is highlighted on the document. This value is used for annotation if you decide to use the document for fine-tuning.
   • 您可以轻松按置信度排序查看置信度低的字段，无需进行更正。
   • 您也可以筛选出已更正的字段，专注于这类字段。

   

4. Choose Annotate if you want to further annotate this document or choose Use for fine-tuning if you want to use this document to retrain your model.

   • Use for fine-tuning:
     • 当文档是模型微调的理想样本、且所有字段在文档中引用正确时选择此项。
     • The document is imported in the training with the Exception tag and all annotations confirmed. The document will be used for fine-tuning.
   • Annotate:
     • 如果文档是模型微调的良好示例，但存在一些验证错误，例如并非所有字段都在文档中正确引用，需要进一步更正，则请选择此选项。
     • The document is imported in the training set with the Exception tag and all annotations unconfirmed. Annotations must be confirmed in the Build section in order for the document to be used to fine-tune the model.
     • If you choose to further annotate your document, check the Annotate documents page for more information on how to annotate documents.
   • Exclude:
     • 当文档并非理想样本，且需将其从待审核异常列表中移除，而且在未来审核会话中无需审核该文档时选择此项。
     • 您可以更改文档的状态以恢复更改。

   Figure 1. Selected document used for fine-tuning or annotation

   

[预览] 导出和导入重新训练候选对象​

导出重新训练候选对象​

• 您可以导出所有收集的文档，在计划导入文档并重新训练模型的环境中对其进行分类。

• 您可以在当前环境中完成审核，并仅导出要用于重新训练的特定文档。

  

导入重新训练候选对象​