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The Intent stage does a semantic comparison of a provided sentence against possible intents the recognizer already has. If the confidence value is in the threshold, it will create a tag holding the intent.
This recognizer can be used with 2 models:
Both the intents stored in the recognizer as the query entered by the user are encoded to encode (using sentence embedding vectors) a list of intents. Then tags sentences that match an intent given a specified threshold of accuracy with the intent from the list of possible intents.
and then compared. The intent recognizer will chose the intent that best matches the query. |
Configuration
Using Tensor flow:
Using Python Bridge:
Configuration
Parameter summary Intent to find within the list of possible intents. default None name Intent
Adding an Intent
Click on the button to open the "Add new " dialog
Parameter summary Intent to add to the list of possible intents. default None name Write intent here Parameter summary Confidence adjustment for this very intent. default 1 name Confidence Adjustment type double
After adding the intent, it is listed in the table:
Recalculate Vectors
Click on the 
button to refresh and recalculate all vectors.
General Settings
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Overview
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