title | titleSuffix | description | ms.author | author | manager | ms.service | ms.subservice | ms.topic | ms.date |
---|---|---|---|---|---|---|---|---|---|
LUIS Prebuilt entities email reference |
Azure AI services |
This article contains email prebuilt entity information in Language Understanding (LUIS). |
aahi |
aahill |
nitinme |
azure-ai-language |
azure-ai-luis |
reference |
01/19/2024 |
[!INCLUDE deprecation notice]
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.
The following entity objects are returned for the query:
please send the information to patti@contoso.com
The following JSON is with the verbose
parameter set to false
:
"entities": {
"email": [
"patti@contoso.com"
]
}
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"
]
}
]
}
}
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"
}
}
]
Learn about the number, ordinal, and percentage.