update links

Author: laujan

articles/applied-ai-services/form-recognizer/deploy-label-tool.md

@@ -14,10 +14,11 @@ ms.author: lajanuar
 # Deploy the Sample Labeling tool
 
 >[!TIP]
+>
 > * For an enhanced experience and advanced model quality, try the [Form Recognizer v3.0 Studio (preview)](https://formrecognizer.appliedai.azure.com/studio).
 > * The v3.0 Studio supports any model trained with v2.1 labeled data.
 > * You can refer to the API migration guide for detailed information about migrating from v2.1 to v3.0.
-> * *See* our [**REST API**](quickstarts/try-v3-rest-api.md) or [**C#**](quickstarts/try-v3-csharp-sdk.md), [**Java**](quickstarts/try-v3-java-sdk.md), [**JavaScript**](quickstarts/try-v3-javascript-sdk.md), or [Python](quickstarts/try-v3-python-sdk) SDK quickstarts to get started with the V3.0 preview.
+> * *See* our [**REST API**](quickstarts/try-v3-rest-api.md) or [**C#**](quickstarts/try-v3-csharp-sdk.md), [**Java**](quickstarts/try-v3-java-sdk.md), [**JavaScript**](quickstarts/try-v3-javascript-sdk.md), or [Python](quickstarts/try-v3-python-sdk.md) SDK quickstarts to get started with the V3.0 preview.
 
 > [!NOTE]
 > The [cloud hosted](https://fott-2-1.azurewebsites.net/) labeling tool is available at [https://fott-2-1.azurewebsites.net/](https://fott-2-1.azurewebsites.net/). Follow the steps in this document only if you want to deploy the sample labeling tool for yourself. 

articles/applied-ai-services/form-recognizer/quickstarts/try-sample-label-tool.md

@@ -20,10 +20,11 @@ keywords: document processing
 # Get started with the Form Recognizer Sample Labeling tool
 
 >[!TIP]
+>
 > * For an enhanced experience and advanced model quality, try the [Form Recognizer v3.0 Studio (preview)](https://formrecognizer.appliedai.azure.com/studio).
 > * The v3.0 Studio supports any model trained with v2.1 labeled data.
 > * You can refer to the API migration guide for detailed information about migrating from v2.1 to v3.0.
-> * *See* our [**REST API**](quickstarts/try-v3-rest-api.md) or [**C#**](quickstarts/try-v3-csharp-sdk.md), [**Java**](quickstarts/try-v3-java-sdk.md), [**JavaScript**](quickstarts/try-v3-javascript-sdk.md), or [Python](quickstarts/try-v3-python-sdk) SDK quickstarts to get started with the V3.0 preview.
+> * *See* our [**REST API**](try-v3-rest-api.md) or [**C#**](try-v3-csharp-sdk.md), [**Java**](try-v3-java-sdk.md), [**JavaScript**](try-v3-javascript-sdk.md), or [Python](try-v3-python-sdk.md) SDK quickstarts to get started with the V3.0 preview.
 
 The Form Recognizer Sample Labeling tool is an open source tool that enables you to test the latest features of Azure Form Recognizer and Optical Character Recognition (OCR) services:
 
@@ -134,9 +135,9 @@ Train a custom model to analyze and extract data from forms and documents specif
 
 * Configure CORS
 
-    [CORS (Cross Origin Resource Sharing)](/rest/api/storageservices/cross-origin-resource-sharing--cors--support-for-the-azure-storage-services) needs to be configured on your Azure storage account for it to be accessible from the Form Recognizer Studio. To configure CORS in the Azure portal, you'll need access to the CORS blade of your storage account.
+    [CORS (Cross Origin Resource Sharing)](/rest/api/storageservices/cross-origin-resource-sharing--cors--support-for-the-azure-storage-services) needs to be configured on your Azure storage account for it to be accessible from the Form Recognizer Studio. To configure CORS in the Azure portal, you'll need access to the CORS tab of your storage account.
 
-    1. Select the CORS blade for the storage account.
+    1. Select the CORS tab for the storage account.
 
        :::image type="content" source="../media/quickstarts/cors-setting-menu.png" alt-text="Screenshot of the CORS setting menu in the Azure portal.":::
 

articles/applied-ai-services/form-recognizer/supervised-table-tags.md

@@ -16,10 +16,11 @@ ms.custom: ignite-fall-2021
 # Use table tags to train your custom template model
 
 >[!TIP]
+>
 > * For an enhanced experience and advanced model quality, try the [Form Recognizer v3.0 Studio (preview)](https://formrecognizer.appliedai.azure.com/studio).
 > * The v3.0 Studio supports any model trained with v2.1 labeled data.
 > * You can refer to the API migration guide for detailed information about migrating from v2.1 to v3.0.
-> * *See* our [**REST API**](quickstarts/try-v3-rest-api.md) or [**C#**](quickstarts/try-v3-csharp-sdk.md), [**Java**](quickstarts/try-v3-java-sdk.md), [**JavaScript**](quickstarts/try-v3-javascript-sdk.md), or [Python](quickstarts/try-v3-python-sdk) SDK quickstarts to get started with the V3.0 preview.
+> * *See* our [**REST API**](quickstarts/try-v3-rest-api.md) or [**C#**](quickstarts/try-v3-csharp-sdk.md), [**Java**](quickstarts/try-v3-java-sdk.md), [**JavaScript**](quickstarts/try-v3-javascript-sdk.md), or [Python](quickstarts/try-v3-python-sdk.md) SDK quickstarts to get started with the V3.0 preview.
 
 In this article, you'll learn how to train your custom template model with table tags (labels). Some scenarios require more complex labeling than simply aligning key-value pairs. Such scenarios include extracting information from forms with complex hierarchical structures or encountering items that not automatically detected and extracted by the service. In these cases, you can use table tags to train your custom template model.
 
@@ -28,7 +29,7 @@ In this article, you'll learn how to train your custom template model with table
 Here are some examples of when using table tags would be appropriate:
 
 - There's data that you wish to extract presented as tables in your forms, and the structure of the tables are meaningful. For instance, each row of the table represents one item and each column of the row represents a specific feature of that item. In this case, you could use a table tag where a column represents features and a row represents information about each feature.
-- There's data you wish to extract that is not presented in specific form fields but semantically, the data could fit in a two-dimensional grid. For instance, your form has a list of people, and includes, a first name, a last name, and an email address. You would like to extract this information. In this case, you could use a table tag with first name, last name, and email address as columns and each row is populated with information about a person from your list.
+- There's data you wish to extract that isn't presented in specific form fields but semantically, the data could fit in a two-dimensional grid. For instance, your form has a list of people, and includes, a first name, a last name, and an email address. You would like to extract this information. In this case, you could use a table tag with first name, last name, and email address as columns and each row is populated with information about a person from your list.
 
 > [!NOTE]
 > Form Recognizer automatically finds and extracts all tables in your documents whether the tables are tagged or not. Therefore, you don't have to label every table from your form with a table tag and your table tags don't have to replicate the structure of very table found in your form. Tables extracted automatically by Form Recognizer will be included in the pageResults section of the JSON output.