Email prebuilt entity for a LUIS app

Email extraction includes the entire email address from an utterance. Because this entity is already trained, you do not need to add example utterances containing email to the application intents. Email entity is supported in en-us culture only.

Resolution for prebuilt email

The following entity objects are returned for the query:

please send the information to patti@contoso.com

V3 response

The following JSON is with the verbose parameter set to false:

"entities": {
    "email": [
        "patti@contoso.com"
    ]
}

V3 verbose response

The following JSON is with the verbose parameter set to true:

"entities": {
    "email": [
        "patti@contoso.com"
    ],
    "$instance": {
        "email": [
            {
                "type": "builtin.email",
                "text": "patti@contoso.com",
                "startIndex": 31,
                "length": 17,
                "modelTypeId": 2,
                "modelType": "Prebuilt Entity Extractor",
                "recognitionSources": [
                    "model"
                ]
            }
        ]
    }
}

V2 response

The following example shows the resolution of the builtin.email entity.

"entities": [
    {
        "entity": "patti@contoso.com",
        "type": "builtin.email",
        "startIndex": 31,
        "endIndex": 55,
        "resolution": {
        "value": "patti@contoso.com"
        }
    }
]

Next steps

Learn more about the V3 prediction endpoint.

Learn about the number, ordinal, and percentage.