Document Understanding 活动

描述​

项目兼容性​

属性​

属性面板​

• “显示名称”- 活动的显示名称。

• “文档对象模型” - 要用于验证文档的文档对象模型。此模型存储在Document变量中，可以从“数字化文档”活动中检索。请访问数字化文档，了解如何实现此目的。此字段仅支持Document变量。
• DocumentPath - The path to the document you want to validate. This field supports only strings and String variables.
  备注：

  The supported file types for this property field are: .png, .gif, .jpe, .jpg, .jpeg, .tiff, .tif, .bmp, and .pdf.

• DocumentText - The text of the document itself, stored in a String variable. This value can be retrieved from the Digitize Document activity. Visit Digitize Document to learn how to achieve this. This field supports only strings and String variables.
• HumanValidatedData - The output from the Validation Station, stored in an ExtractionResult proprietary variable.
  备注：

  如果“文档对象模型”和“人工验证的数据”文件具有不同来源，则系统会在运行时抛出错误。

• “私有”- 选中后将不再以“Verbose”级别记录变量和参数的值。

“配置提取程序”向导​

1. 将“训练提取程序作用域”活动添加到工作流中。

2. 在“属性”面板中，在“文档对象模型”、“文档路径”、“文档文本”和“人工验证数据”字段中添加自定义配置。

3. Add an extractor trainer activity (for instance, Machine Learning Extractor Trainer), or create a custom activity for extractor training by implementing the classes and place it inside the Train Extractors Scope activity.

   1. To configure your extractors, select Configure Extractors. You can now see the Configure Extractors wizard.

      Figure 1. Overview of the Configure Extractors wizard

      

   2. 要对整个文档类型或该文档中的特定字段使用特定的提取程序，请选中文档类型或字段旁边的复选框。选择整个文档类型后，系统也将自动选择所有相应的字段。

      Figure 2. Animated image showing the process of selecting document types or corresponding fields for extraction

      

4. Select Get of refresh extractor capabilities, for the extractors that support this functionality, to map your taxonomy fields with the available extractor fields, or refresh them in case the extractor fields have changed. After you configure the capabilities, select Get Capabilities, to reflect the changes in the Configure Extractors wizard.

   Figure 3. Animated image showing the process of refreshing the extractor capabilities for a Machine Learning Extractor

   

5. To train the extractor based on its extraction result, start by entering any alphanumeric value in the Framework Alias field. After this, go on to set the exact value in the corresponding Framework Alias field of one or more trainers. This creates a link between the extractor and the respective trainer(s).

6. Select Save once all the extractors are selected.

Document Understanding 集成​