Merge pull request #237475 from aahill/button-remove

[BULK] removing feedback buttons

Author: v-dirichards

articles/cognitive-services/language-service/conversational-language-understanding/includes/quickstarts/language-studio.md

@@ -5,7 +5,7 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: language-service
 ms.topic: include
-ms.date: 10/26/2022
+ms.date: 05/09/2023
 ms.author: aahi
 ms.custom: ignite-fall-2021
 ---
@@ -14,15 +14,10 @@ ms.custom: ignite-fall-2021
 
 * Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services).
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=Language-studio&Pillar=Language&Product=Conversational-language-understanding&Page=quickstart&Section=Prerequisites" target="_target">I ran into an issue</a>
-
 ## Sign in to Language Studio
 
 [!INCLUDE [Sign in to Language studio](../language-studio/sign-in-studio.md)]
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=Language-studio&Pillar=Language&Product=Conversational-language-understanding&Page=quickstart&Section=Sign-in-to-language-studio" target="_target">I ran into an issue</a>
 
 ## Create a conversational language understanding project
 
@@ -34,9 +29,6 @@ For this quickstart, you can download [this sample project file](https://go.micr
 
 Once the upload is complete, you will land on **Schema definition** page. For this quickstart, the schema is already built, and utterances are already labeled with intents and entities.
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=Language-studio&Pillar=Language&Product=Conversational-language-understanding&Page=quickstart&Section=Create-a-conversational-language-understanding-project" target="_target">I ran into an issue</a>
-
 ## Train your model
 
 Typically, after you create a project, you should [build a schema](../../how-to/build-schema.md) and [label utterances](../../how-to/tag-utterances.md). For this quickstart, we already imported a ready project with built schema and labeled utterances. 
@@ -45,29 +37,17 @@ To train a model, you need to start a training job. The output of a successful t
 
 [!INCLUDE [Train model](../language-studio/train-model.md)]
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=Language-studio&Pillar=Language&Product=Conversational-language-understanding&Page=quickstart&Section=Train-model" target="_target">I ran into an issue</a>
-
 ## Deploy your model
 
 Generally after training a model you would review its evaluation details. In this quickstart, you will just deploy your model, and make it available for you to try in Language studio, or you can call the [prediction API](https://aka.ms/clu-apis).
 
 [!INCLUDE [Deploy model](../language-studio/deploy-model.md)]
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=Language-studio&Pillar=Language&Product=Conversational-language-understanding&Page=quickstart&Section=Deploy-model" target="_target">I ran into an issue</a>
-
 ## Test deployed model
 
 [!INCLUDE [Test model](../language-studio/test-model.md)]
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=Language-studio&Pillar=Language&Product=Conversational-language-understanding&Page=quickstart&Section=Test-model" target="_target">I ran into an issue</a>
-
 ## Clean up resources
 
 [!INCLUDE [Delete project using Language studio](../language-studio/delete-project.md)]
- 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=Language-studio&Pillar=Language&Product=Conversational-language-understanding&Page=quickstart&Section=Clean-up-projects" target="_target">I ran into an issue</a>
-
+ 

articles/cognitive-services/language-service/conversational-language-understanding/includes/quickstarts/rest-api.md

@@ -14,13 +14,11 @@ ms.custom: ignite-fall-2021
 
 * Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services).
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=REST API&Pillar=Language&Product=Conversational-language-understanding&Page=quickstart&Section=Prerequisites" target="_target">I ran into an issue</a>
+
 
 [!INCLUDE [create a new resource from the Azure portal](../resource-creation-azure-portal.md)]
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=REST API&Pillar=Language&Product=Conversational-language-understanding&Page=quickstart&Section=Create-new-resource" target="_target">I ran into an issue</a>
+
 
 ## Get your resource keys and endpoint
 
@@ -29,49 +27,43 @@ ms.custom: ignite-fall-2021
 
     :::image type="content" source="../../../media/azure-portal-resource-credentials.png" alt-text="A screenshot showing the key and endpoint page in the Azure portal" lightbox="../../../media/azure-portal-resource-credentials.png":::
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=REST API&Pillar=Language&Product=Conversational-language-understanding&Page=quickstart&Section=Get-resource-keys-and-endpoint" target="_target">I ran into an issue</a>
+
 
 ## Import a new CLU sample project
 
 Once you have a Language resource created, create a conversational language understanding project. A project is a work area for building your custom ML models based on your data. Your project can only be accessed by you and others who have access to the Language resource being used.
 
 For this quickstart, you can download [this sample project](https://go.microsoft.com/fwlink/?linkid=2196152) and import it. This project can predict the intended commands from user input, such as: reading emails, deleting emails, and attaching a document to an email. 
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=RESTAPI&Pillar=Language&Product=Conversational-language-understanding&Page=quickstart&Section=Create-a-conversational-language-understanding-project" target="_target">I ran into an issue</a>
+
 
 ### Trigger the import project job 
 
 [!INCLUDE [create and import project](../rest-api/import-project.md)]
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=REST API&Pillar=Language&Product=Conversational-language-understanding&Page=quickstart&Section=Trigger-import-project-job" target="_target">I ran into an issue</a>
+
 
 ### Get the import job status
 
 [!INCLUDE [get import project status](../rest-api/get-import-status.md)]
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=REST API&Pillar=Language&Product=Conversational-language-understanding&Page=quickstart&Section=Get-import-job-status" target="_target">I ran into an issue</a>
+
 
 ## Start training your model
 
 Typically, after you create a project, you should [build schema](../../how-to/build-schema.md) and [tag utterances](../../how-to/tag-utterances.md). For this quickstart, we already imported a ready project with built schema and tagged utterances. 
 
 [!INCLUDE [train model](../rest-api/train-model.md)]
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=REST API&Pillar=Language&Product=Conversational-language-understanding&Page=quickstart&Section=Train-model" target="_target">I ran into an issue</a>
+
 
 ### Get the training job status
 
 Training may take time to complete - sometimes between 10 and 30 minutes. You can use the following request to keep polling the status of the training job until it is successfully completed.
 
  [!INCLUDE [get training model status](../rest-api/get-training-status.md)]
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=REST API&Pillar=Language&Product=Conversational-language-understanding&Page=quickstart&Section=Get-training-job-status" target="_target">I ran into an issue</a>
+
 
 ## Deploy your model
 
@@ -81,15 +73,13 @@ Generally after training a model you would review its evaluation details. In thi
 
 [!INCLUDE [deploy model](../rest-api/deploy-model.md)]
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=REST API&Pillar=Language&Product=Conversational-language-understanding&Page=quickstart&Section=Submit-deployment-job" target="_target">I ran into an issue</a>
+
 
 ### Get deployment job status
 
 [!INCLUDE [get deployment status](../rest-api/get-deployment-status.md)]
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=REST API&Pillar=Language&Product=Conversational-language-understanding&Page=quickstart&Section=Get-deployment-job-status" target="_target">I ran into an issue</a>
+
 
 ## Query model 
 
@@ -99,14 +89,12 @@ Once deployment succeeds, you can begin querying your deployed model for predict
 
 [!INCLUDE [test model](../rest-api/query-model.md)]
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=REST API&Pillar=Language&Product=Conversational-language-understanding&Page=quickstart&Section=Query-model" target="_target">I ran into an issue</a>
+
 
 ## Clean up resources
 
 When you don't need your project anymore, you can delete your project using the APIs.
 
 [!INCLUDE [Delete project](../rest-api/delete-project.md)]
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=REST API&Pillar=Language&Product=Conversational-language-understanding&Page=quickstart&Section=Clean-up-resources" target="_target">I ran into an issue</a>
+

articles/cognitive-services/language-service/custom-named-entity-recognition/includes/quickstarts/language-studio.md

@@ -14,8 +14,7 @@ ms.author: aahi
 
 * Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services)
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=Language-studio&Pillar=Language&Product=Custom-named-entity-recognition&Page=quickstart&Section=Prerequisites" target="_target">I ran into an issue</a>
+
 
 ## Create a new Azure Language resource and Azure storage account
 
@@ -28,42 +27,37 @@ Before you can use custom NER, you'll need to create an Azure Language resource,
 
 [!INCLUDE [create a new resource from the Azure portal](../resource-creation-azure-portal.md)]
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=Language-studio&Pillar=Language&Product=Custom-named-entity-recognition&Page=quickstart&Section=Create-a-new-azure-language-resource-and-storage-account" target="_target">I ran into an issue</a>
+
 
 ## Upload sample data to blob container
 
 [!INCLUDE [Uploading sample data for custom NER](blob-storage-upload.md)]
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=Language-studio&Pillar=Language&Product=Custom-named-entity-recognition&Page=quickstart&Section=Upload-sample-data-to-blob-container" target="_target">I ran into an issue</a>
+
 
 ## Create a custom named entity recognition project
 
 Once your resource and storage account are configured, create a new custom NER project. A project is a work area for building your custom ML models based on your data. Your project can only be accessed by you and others who have access to the Language resource being used.
 
 [!INCLUDE [Create custom NER project](../language-studio/create-project.md)]
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=Language-studio&Pillar=Language&Product=Custom-named-entity-recognition&Page=quickstart&Section=Create-custom-named-entity-recognition-project" target="_target">I ran into an issue</a>
+
 
 ## Train your model
 
 Typically after you create a project, you go ahead and start [tagging the documents](../../how-to/tag-data.md) you have in the container connected to your project. For this quickstart, you have imported a sample tagged dataset and initialized your project with the sample JSON tags file.
 
 [!INCLUDE [Train a model using Language Studio](../language-studio/train-model.md)]
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=Language-studio&Pillar=Language&Product=Custom-named-entity-recognition&Page=quickstart&Section=Train-model" target="_target">I ran into an issue</a>
+
 
 ## Deploy your model
 
 Generally after training a model you would review its [evaluation details](../../how-to/view-model-evaluation.md) and [make improvements](../../how-to/view-model-evaluation.md) if necessary. In this quickstart, you will just deploy your model, and make it available for you to try in Language studio, or you can call the [prediction API](https://aka.ms/ct-runtime-swagger).
 
 [!INCLUDE [Deploy a model using Language Studio](../language-studio/deploy-model.md)]
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=Language-studio&Pillar=Language&Product=Custom-named-entity-recognition&Page=quickstart&Section=Deploy-model" target="_target">I ran into an issue</a>
+
 
 
 ## Test your model
@@ -72,12 +66,10 @@ After your model is deployed, you can start using it to extract entities from yo
 
 [!INCLUDE [Test a model using Language Studio](../language-studio/test-model.md)]
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=Language-studio&Pillar=Language&Product=Custom-named-entity-recognition&Page=quickstart&Section=Test-model" target="_target">I ran into an issue</a>
+
 
 ## Clean up resources
 
 [!INCLUDE [Delete project using Language Studio](../language-studio/delete-project.md)]
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=Language-studio&Pillar=Language&Product=Custom-named-entity-recognition&Page=quickstart&Section=Clean-up-projects" target="_target">I ran into an issue</a>
+

articles/cognitive-services/language-service/custom-named-entity-recognition/includes/quickstarts/rest-api.md

@@ -13,8 +13,7 @@ ms.author: aahi
 
 * Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services)
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=REST API&Pillar=Language&Product=Custom-named-entity-recognition&Page=quickstart&Section=Trigger-import-project-job" target="_target">I ran into an issue</a>
+
 
 ## Create a new Azure Language resource and Azure storage account
 
@@ -27,22 +26,19 @@ Before you can use custom NER, you'll need to create an Azure Language resource,
 
 [!INCLUDE [create a new resource from the Azure portal](../resource-creation-azure-portal.md)]
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=REST API&Pillar=Language&Product=Custom-named-entity-recognition&Page=quickstart&Section=Create-new-resource" target="_target">I ran into an issue</a>
+
 
 ## Upload sample data to blob container
 
 [!INCLUDE [Uploading sample data for custom NER](blob-storage-upload.md)]
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=REST API&Pillar=Language&Product=Custom-named-entity-recognition&Page=quickstart&Section=Upload-sample-data-to-blob-container" target="_target">I ran into an issue</a>
+
 
 ### Get your resource keys and endpoint
 
 [!INCLUDE [Get keys and endpoint Azure Portal](../get-keys-endpoint-azure.md)]
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=REST API&Pillar=Language&Product=Custom-named-entity-recognition&Page=quickstart&Section=Get-resource-keys-and-endpoint" target="_target">I ran into an issue</a>
+
 
 ## Create a custom NER project
 
@@ -54,15 +50,13 @@ Use the tags file you downloaded from the [sample data](https://github.com/Azure
 
 [!INCLUDE [Import a project using the REST API](../rest-api/import-project.md)]
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=REST API&Pillar=Language&Product=Custom-named-entity-recognition&Page=quickstart&Section=Trigger-import-project-job" target="_target">I ran into an issue</a>
+
 
 ### Get import job status
 
  [!INCLUDE [get import project status](../rest-api/get-import-status.md)]
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=REST API&Pillar=Language&Product=Custom-named-entity-recognition&Page=quickstart&Section=Get-import-job-status" target="_target">I ran into an issue</a>
+
 
 ## Train your model
 
@@ -74,17 +68,15 @@ After your project has been imported, you can start training your model.
 
 [!INCLUDE [train model](../rest-api/train-model.md)]
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=REST API&Pillar=Language&Product=Custom-named-entity-recognition&Page=quickstart&Section=Start-training-your-job" target="_target">I ran into an issue</a>
+
 
 ### Get training job status
 
 Training could take sometime between 10 and 30 minutes for this sample dataset. You can use the following request to keep polling the status of the training job until it is successfully completed.
 
 [!INCLUDE [get training model status](../rest-api/get-training-status.md)]
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=REST API&Pillar=Language&Product=Custom-named-entity-recognition&Page=quickstart&Section=Get-training-job-status" target="_target">I ran into an issue</a>
+
 
 ## Deploy your model
 
@@ -94,15 +86,13 @@ Generally after training a model you would review it's [evaluation details](../.
 
 [!INCLUDE [deploy model](../rest-api/deploy-model.md)]
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=REST API&Pillar=Language&Product=Custom-named-entity-recognition&Page=quickstart&Section=Submit-deployment-job" target="_target">I ran into an issue</a>
+
 
 ### Get deployment job status
 
 [!INCLUDE [get deployment status](../rest-api/get-deployment-status.md)]
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=REST API&Pillar=Language&Product=Custom-named-entity-recognition&Page=quickstart&Section=Get-deployment-job-status" target="_target">I ran into an issue</a>
+
 
 ## Extract custom entities
 
@@ -112,19 +102,16 @@ After your model is deployed, you can start using it to extract entities from yo
 
 [!INCLUDE [submit a custom NER task using the REST API](../rest-api/submit-task.md)]
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=REST API&Pillar=Language&Product=Custom-named-entity-recognition&Page=quickstart&Section=Submit-custom-ner-task" target="_target">I ran into an issue</a>
+
 
 ### Get task results
 
 [!INCLUDE [get custom NER task results](../rest-api/get-results.md)]
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=REST API&Pillar=Language&Product=Custom-named-entity-recognition&Page=quickstart&Section=Get-task-results" target="_target">I ran into an issue</a>
+
 
 ## Clean up resources
 
 [!INCLUDE [Delete project using the REST API](../rest-api/delete-project.md)]
 
-> [!div class="nextstepaction"]
-> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=REST API&Pillar=Language&Product=Custom-named-entity-recognition&Page=quickstart&Section=Clean-up-resources" target="_target">I ran into an issue</a>
+