Intents - Revision history

Stefan at 08:06, 17 July 2024

2024-07-17T08:06:38Z

Admin at 14:37, 18 November 2019

2019-11-18T14:37:14Z

Admin at 14:36, 18 November 2019

2019-11-18T14:36:32Z

Admin at 14:27, 18 November 2019

2019-11-18T14:27:45Z

Admin at 14:27, 18 November 2019

2019-11-18T14:27:23Z

Admin at 14:27, 18 November 2019

2019-11-18T14:27:10Z

Admin at 14:26, 18 November 2019

2019-11-18T14:26:52Z

Admin at 14:26, 18 November 2019

2019-11-18T14:26:35Z

Admin: Created page with "Intents are components used to detect the intent from user input. 600px The detection is based on the expression examples that can be added in the detai..."

2019-11-18T14:26:11Z

Created page with "Intents are components used to detect the intent from user input. 600px The detection is based on the expression examples that can be added in the detai..."

New page

Intents are components used to detect the intent from user input.

[[File:intents.png|600px]]

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 level 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.

← Older revision		Revision as of 08:06, 17 July 2024
Line 11:		Line 11:
	It is recommended that for each intent based ramification you add a fallback intent that will be selected if no other intent was matched.		It is recommended that for each intent based ramification you add a fallback intent that will be selected if no other intent was matched.
	To make an intent the fallback intent check the '''This is a Default Intent''' checkbox in the detail view.		To make an intent the fallback intent check the '''This is a Default Intent''' checkbox in the detail view.
−
−	~~There are two more advanced settings in the intent detail view:~~
−	*'''Allow one entity regex''' allows matching expression examples that only contain one entity. This behavior is disabled by default to avoid misconfigurations that will matching everything.
−	*'''Superintent''' allows grouping multiple intents in a category. This way if the NLP engine can't detect the exact intent but detects that is one of the intents in the category it will match the superintent.

@@ Line 10: / Line 10: @@
 It is recommended that for each intent based ramification you add a fallback intent that will be selected if no other intent was matched.
-To make an intent the fallback intent check the "This is a Default Intent" checkbox in the detail view.
+To make an intent the fallback intent check the '''This is a Default Intent''' checkbox in the detail view.
 There are two more advanced settings in the intent detail view:
-*"Allow one entity regex" allows matching expression examples that only contain one entity. This behavior is disabled by default to avoid misconfigurations that will matching everything.
+*'''Allow one entity regex''' allows matching expression examples that only contain one entity. This behavior is disabled by default to avoid misconfigurations that will matching everything.
-*"Superintent" allows grouping multiple intents in a category. This way if the NLP engine can't detect the exact intent but detects that is one of the intents in the category it will match the superintent.
+*'''Superintent''' allows grouping multiple intents in a category. This way if the NLP engine can't detect the exact intent but detects that is one of the intents in the category it will match the superintent.

@@ Line 5: / Line 5: @@
 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.
+The detection will match all the expression 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.

← Older revision		Revision as of 14:27, 18 November 2019
Line 7:		Line 7:
	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.

← Older revision		Revision as of 14:27, 18 November 2019
Line 7:		Line 7:
	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 ~~level~~ 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 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.

@@ Line 3: / Line 3: @@
 [[File:intents.png|600px]]
-The detection is based on the expression examples that can be added in the detail view./n
+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 level 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.

← Older revision		Revision as of 14:26, 18 November 2019
Line 1:		Line 1:
−	Intents are components used to detect the ~~intent~~ from user input.	+	Intents are components used to detect the intention from user input.

	[[File:intents.png\|600px]]		[[File:intents.png\|600px]]