Difference between revisions of "Intents"
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The detection will match all the expressions examples and other similar expressions. | The detection will match all the expressions examples and other similar expressions. | ||
− | There are two levels of detection. The first one is rule based, combining grammar rules, synonym lists and entity matching. The second level is the NLP level that uses deep to understand the general meaning of the example expressions and detect other expressions with similar meaning. It is recommended to have at the very least 10 examples before activating the NLP detection for an intent. | + | There are two levels of detection. The first one is rule based, combining grammar rules, synonym lists and entity matching. The second level is the NLP level that uses deep learning to understand the general meaning of the example expressions and detect other expressions with similar meaning. It is recommended to have at the very least 10 examples before activating the NLP detection for an intent. |
Revision as of 14:27, 18 November 2019
Intents are components used to detect the intention from user input.
The detection is based on the expression examples that can be added in the detail view.
The detection will match all the expressions examples and other similar expressions.
There are two levels of detection. The first one is rule based, combining grammar rules, synonym lists and entity matching. The second level is the NLP level that uses deep learning to understand the general meaning of the example expressions and detect other expressions with similar meaning. It is recommended to have at the very least 10 examples before activating the NLP detection for an intent.