Number prebuilt entity for a LUIS app
Important
LUIS will be retired on October 1st 2025 and starting April 1st 2023 you will not be able to create new LUIS resources. We recommend migrating your LUIS applications to conversational language understanding to benefit from continued product support and multilingual capabilities.
There are many ways in which numeric values are used to quantify, express, and describe pieces of information. This article covers only some of the possible examples. LUIS interprets the variations in user utterances and returns consistent numeric values. Because this entity is already trained, you do not need to add example utterances containing number to the application intents.
Number is managed from the Recognizers-text GitHub repository
Utterance | Entity | Resolution |
---|---|---|
one thousand times |
"one thousand" |
"1000" |
1,000 people |
"1,000" |
"1000" |
1/2 cup |
"1 / 2" |
"0.5" |
one half the amount |
"one half" |
"0.5" |
one hundred fifty orders |
"one hundred fifty" |
"150" |
one hundred and fifty books |
"one hundred and fifty" |
"150" |
a grade of one point five |
"one point five" |
"1.5" |
buy two dozen eggs |
"two dozen" |
"24" |
LUIS includes the recognized value of a builtin.number
entity in the resolution
field of the JSON response it returns.
The following entity objects are returned for the query:
order two dozen eggs
The following JSON is with the verbose
parameter set to false
:
"entities": {
"number": [
24
]
}
Learn about the currency, ordinal, and percentage.