v11

latestSwagger 2.0raw.githubusercontent.com2022-10-03168148314.0 KB

Get suggested example utterances that would improve the accuracy of the entity model in a version of the application.

get/apps/{appId}/versions/{versionId}/entities/{entityId}/suggest

Path parameters

appIdstring uuid required

The application ID.

versionIdstring required

The version ID.

entityIdstring uuid required

The target entity extractor model to enhance.

Query parameters

takeinteger

The number of entries to return. Maximum page size is 500. Default is 100.

enableNestedChildrenboolean

Toggles nested/flat format

Response

If there's no trained entity model, nothing is returned in the response. If there's a trained model and active learning finds any relevant queries, they are returned with the entity model predictions. If there's a trained model but active learning didn't find any relevant queries, an empty list is returned in the response.

textstring

The utterance. For example, "What's the weather like in seattle?"

tokenizedTextstring[]

The utterance tokenized.

Example response

[
  {
    "entityPredictions": [
      {
        "children": [
          {
            "entityName": "child",
            "startTokenIndex": 0,
            "endTokenIndex": 0,
            "phrase": "string"
          }
        ]
      }
    ]
  }
]