Merge pull request #95521 from diberry/diberry/1111-luis-how-to-add-entity

[Cogsvcs] LUIS - how to add entity

Author: megvanhuygen

.openpublishing.redirection.json

@@ -520,6 +520,11 @@
       "redirect_url": "/azure/machine-learning",
       "redirect_document_id": false
     },
+    {
+      "source_path": "articles/cognitive-services/LUIS/luis-how-to-add-example-utterances.md",
+      "redirect_url": "/azure/cognitive-services/LUIS/luis-how-to-add-entities",
+      "redirect_document_id": false
+    },  
     {
       "source_path": "articles/cognitive-services/LUIS/luis-tutorial-prebuilt-intents-entities.md",
       "redirect_url": "/azure/cognitive-services/LUIS/tutorial-machine-learned-entity",

articles/cognitive-services/LUIS/includes/decomposable-tutorial-links.md

@@ -0,0 +1,17 @@
+---
+title: Decomposable entity tutorial links 
+services: cognitive-services
+author: diberry
+manager: nitinme
+ms.service: cognitive-services
+ms.topic: include
+ms.date: 11/11/2019
+ms.author: diberry
+---
+
+To take advantage of [decomposable concepts](../luis-concept-model.md#v3-authoring-model-decomposition), start with the machine-learned entity. Follow the [machine-learned entity tutorial](../tutorial-machine-learned-entity.md) for steps on how to create this type of entity including examples of:
+
+* [Create and label machine-learned entity](../tutorial-machine-learned-entity.md#label-text-as-entities-in-example-utterances) with structure and a descriptor (phrase list) from example utterance on **Intent detail page**
+* [Add prebuilt number entity](../tutorial-machine-learned-entity.md#add-prebuilt-number-to-app-to-help-extract-data) from the **Entities list page**.
+* [Add subcomponent entity with constraint](../tutorial-machine-learned-entity.md#create-subcomponent-entity-with-constraint-to-help-extract-data) from the **Entity detail page**.
+* [Label example utterance with subcomponent](../tutorial-machine-learned-entity.md#label-example-utterance-with-subcomponent-for-quantity-to-teach-luis-about-the-entity) on **Intent detail page**

articles/cognitive-services/LUIS/luis-concept-patterns.md

@@ -64,5 +64,11 @@ Learn pattern syntax from the [pattern syntax reference](reference-pattern-synta
 
 ## Next steps
 
+Learn more about patterns:
+
+* [How to add patterns](luis-how-to-model-intent-pattern.md)
+* [How to add pattern.any entity](luis-how-to-add-entities.md##add-a-patternany-entity)
+* [Patterns Syntax](reference-pattern-syntax.md)
+
 > [!div class="nextstepaction"]
 > [Learn how to implement patterns in this tutorial](luis-tutorial-pattern.md)

articles/cognitive-services/LUIS/luis-how-to-add-entities.md

@@ -26,7 +26,32 @@ A list entity isn't machine-learned. It is an exact text match. LUIS marks any m
 
 ![list entity](./media/luis-concept-entities/list-entity.png)
 
-## Example JSON
+## Example .json to import into list entity
+
+  You can import values into an existing list entity using the following .json format:
+
+  ```JSON
+  [
+      {
+          "canonicalForm": "Blue",
+          "list": [
+              "navy",
+              "royal",
+              "baby"
+          ]
+      },
+      {
+          "canonicalForm": "Green",
+          "list": [
+              "kelly",
+              "forest",
+              "avacado"
+          ]
+      }
+  ]  
+  ```
+
+## Example JSON response
 
 Suppose the app has a list, named `Cities`, allowing for variations of city names including city of airport (Sea-tac), airport code (SEA), postal zip code (98101), and phone area code (206).