Create an entity extraction custom model

Create your model

To create your custom entity extraction model:

  1. Provide at least 10 examples of your text data.
  2. Review the results from existing, prebuilt entities.
  3. Refine your results by creating your own custom tables or modifying existing, prebuilt tables.
  4. Review your model, and train it.
  5. Evaluate your model (optional).

Upload examples of your text data

You need at least 10 data examples to start customizing the model. AI Builder will identify some tables out of the box. You can customize your model by creating new entity types with a small set of examples or by modifying the existing entity types.

To upload your data:

  1. Sign in to Power Apps or Power Automate.

  2. In the left pane, select AI Builder > Explore, and then select Entity Extraction.

  3. Enter a name for your model, and then select Create.

  4. Select the Microsoft Dataverse Table and the Column that contains your data.

    Here's an example of a selected table and column:

    Add data.

Review and refine entities

AI Builder will automatically extract the prebuilt entity types from your uploaded examples. If the results are satisfactory, you don't need to customize a model and can use the prebuilt entity extraction model out of the box.

You can customize your entity extraction model in these ways:

  • Create a new entity type.

    You need to provide at least five examples to create a new entity type. For example, to create a new entity type named size, you can add an example like "The suitcase was {large}." The braces designate that "large" is of entity type size.

  • Modify an existing entity type.

    You need to add least five examples to an existing entity type to modify it.

  • Deselect any prebuilt entities that you don't want to include in the model.

    You can select/deselect prebuilt entity types from the settings.

Next step

Train and publish your entity extraction custom model.