edit pass: four-qna-maker-articles

Author: Ja-Dunn

articles/cognitive-services/QnAMaker/How-To/improve-knowledge-base.md

@@ -49,7 +49,7 @@ The algorithm to determine proximity is not a simple calculation. The ranges in
 
 Active learning is off by default. Turn it on to see suggested questions. 
 
-1. Select **Publish** to publish the knowledge base. Active learning queries are collected from the GenerateAnswer API prediction endpoint only. The queries to the Test pane in the QnA Maker portal don't impact active learning.
+1. Select **Publish** to publish the knowledge base. Active learning queries are collected from the GenerateAnswer API prediction endpoint only. The queries to the Test pane in the QnA Maker portal don't affect active learning.
 
 1. To turn active learning on, select your **Name**, and go to [**Service Settings**](https://www.qnamaker.ai/UserSettings) in the QnA Maker portal, in the top right corner.  
 
@@ -58,7 +58,7 @@ Active learning is off by default. Turn it on to see suggested questions.
 
 1. Find the QnA Maker service, and then toggle to **Active Learning**. 
 
-    [![Screenshot of QnA Maker portal Service Settings](../media/improve-knowledge-base/turn-active-learning-on-at-service-setting.png#lightbox)
+    [![Screenshot of QnA Maker portal Service Settings](../media/improve-knowledge-base/turn-active-learning-on-at-service-setting.png)](../media/improve-knowledge-base/turn-active-learning-on-at-service-setting.png#lightbox)
 
     When active learning is enabled, the knowledge base suggests new questions at regular intervals based on user-submitted questions. You can disable active learning by toggling the setting again.
 

articles/cognitive-services/QnAMaker/How-To/metadata-generateanswer-usage.md

@@ -167,8 +167,6 @@ Because results are required only for the restaurant "Paradise", you can set a f
 }
 ```
 
-<name="keep-context"></a>
-
 ## Use question and answer results to keep conversation context
 
 The response to the GenerateAnswer contains the corresponding metadata information of the matched question and answer set. You can use this information in your client application to store the context of the previous conversation for use in later conversations. 

articles/cognitive-services/QnAMaker/Quickstarts/create-publish-knowledge-base.md

@@ -31,9 +31,9 @@ You can create a QnA Maker knowledge base (KB) from your own content, such as FA
 
 1. On the **Create** page, in step 1, select **Create a QnA service**. You are directed to the [Azure portal](https://ms.portal.azure.com/#create/Microsoft.CognitiveServicesQnAMaker) to set up a QnA Maker service in your subscription. If the Azure portal times out, select **Try again** on the site. After you connect, your Azure dashboard appears.
 
-1. After you successfully create a new QnA Maker service in Azure, return to qnamaker.ai/create. Select your QnA service from the drop-down lists in step 2. If you created a new QnA service, be sure to refresh the page.
+1. After you successfully create a new QnA Maker service in Azure, return to qnamaker.ai/create. Select your QnA Maker service from the drop-down lists in step 2. If you created a new QnA Maker service, be sure to refresh the page.
 
-   ![Screenshot of selecting a QnA service knowledge base](../media/qnamaker-quickstart-kb/qnaservice-selection.png)
+   ![Screenshot of selecting a QnA Maker service knowledge base](../media/qnamaker-quickstart-kb/qnaservice-selection.png)
 
 1. In step 3, name your knowledge base **My Sample QnA KB**.
 

articles/cognitive-services/QnAMaker/Tutorials/create-publish-query-in-portal.md

@@ -1,7 +1,7 @@
 ---
 title: Create, publish, and answer in QnA Maker
 titleSuffix: Azure Cognitive Services 
-description: Create a new knowledge base with questions and answers from a public web-based FAQ. Save, train, and publish the knowledge base. After the knowledge base is published, send a question and receive an answer with a Curl command. Then create a bot, and test the bot with the same question. 
+description: Create a new knowledge base with questions and answers from a public web-based FAQ. Save, train, and publish the knowledge base. After the knowledge base is published, send a question and receive an answer with a cURL command. Then create a bot, and test the bot with the same question. 
 services: cognitive-services
 author: diberry
 manager: nitinme
@@ -16,15 +16,15 @@ ms.author: diberry
 
 # Tutorial: From the QnA Maker portal, create a knowledge base
 
-Create a new knowledge base with questions and answers from a public web-based FAQ. Save, train, and publish the knowledge base. After the knowledge base is published, send a question and receive an answer with a Curl command. Then create a bot, and test the bot with the same question. 
+Create a new knowledge base with questions and answers from a public web-based FAQ. Save, train, and publish the knowledge base. After the knowledge base is published, send a question and receive an answer with a cURL command. Then create a bot, and test the bot with the same question. 
 
 In this tutorial, you learn how to: 
 
 > [!div class="checklist"]
 > * Create a knowledge base in the QnA Maker portal.
 > * Review, save, and train the knowledge base.
 > * Publish the knowledge base.
-> * Use Curl to query the knowledge base.
+> * Use cURL to query the knowledge base.
 > * Create a bot.
  
 
@@ -83,7 +83,7 @@ This tutorial requires an existing [QnA Maker service](../How-To/set-up-qnamaker
 
 1. From the toolbar above the list of questions and answers, select the **View options** icon, and then select **Show metadata**. This shows the metadata tags for each question and answer. The Chit-chat questions have the **editorial: chit-chat** metadata already set. This metadata is returned to the client application, along with the selected answer. The client application, such as a chat bot, can use this filtered metadata to determine additional processing or interactions with the user.
 
-    ![Screenshot of QnA Maker portal](../media/qnamaker-tutorial-create-publish-query-in-portal/save-and-train-kb-chit-chat.png#lightbox)
+    ![Screenshot of QnA Maker portal](../media/qnamaker-tutorial-create-publish-query-in-portal/save-and-train-kb-chit-chat.png)](../media/qnamaker-tutorial-create-publish-query-in-portal/save-and-train-kb-chit-chat.png#lightbox)
 
 1. Select **Save and train** in the top menu bar.
 
@@ -99,17 +99,17 @@ After the knowledge base is published, the endpoint is displayed.
 
 Don't close this **Publish** page. You need it later in the tutorial, to create a bot. 
 
-## Use Curl to query for an FAQ answer
+## Use cURL to query for an FAQ answer
 
 1. Select the **Curl** tab. 
 
     ![Screenshot of Curl tab](../media/qnamaker-tutorial-create-publish-query-in-portal/publish-3-curl.png)
 
-1. Copy the text of the **Curl** tab, and run it in a Curl-enabled terminal or command-line. The authorization header's value includes the text `Endpoint`, with a trailing space and then the key.
+1. Copy the text of the **Curl** tab, and run it in a cURL-enabled terminal or command-line. The authorization header's value includes the text `Endpoint`, with a trailing space and then the key.
 
 1. Replace `<Your question>` with `How large can my KB be?`. This is close to the question, `How large a knowledge base can I create?`, but not exactly the same. QnA Maker applies natural language processing to determine that the two questions are the same.     
 
-1. Run the Curl command and receive the JSON response, including the score and answer. 
+1. Run the cURL command and receive the JSON response, including the score and answer. 
 
     ```TXT
       % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
@@ -133,11 +133,11 @@ Don't close this **Publish** page. You need it later in the tutorial, to create
 
     QnA Maker is somewhat confident with the score of 42.81%.  
 
-## Use Curl to query for a Chit-chat answer
+## Use cURL to query for a Chit-chat answer
 
-1. In the Curl-enabled terminal, replace `How large can my KB be?` with a bot conversation-ending statement from the user, such as `Thank you`.   
+1. In the cURL-enabled terminal, replace `How large can my KB be?` with a bot conversation-ending statement from the user, such as `Thank you`.   
 
-1. Run the Curl command and receive the JSON response, including the score and answer. 
+1. Run the cURL command and receive the JSON response, including the score and answer. 
 
     ```TXT
       % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
@@ -173,13 +173,13 @@ Don't close this **Publish** page. You need it later in the tutorial, to create
 
     Because the question of `Thank you` exactly matched a Chit-chat question, QnA Maker is completely confident with the score of 100. QnA Maker also returned all the related questions, as well as the metadata property containing the Chit-chat metadata tag information.  
 
-## Use Curl to query for the default answer
+## Use cURL to query for the default answer
 
 Any question that QnA Maker is not confident about receives the default answer. This answer is configured in the Azure portal. 
 
-1. In the Curl-enabled terminal, replace `Thank you` with `x`. 
+1. In the cURL-enabled terminal, replace `Thank you` with `x`. 
 
-1. Execute the Curl command and receive the JSON response, including the score and answer. 
+1. Run the cURL command and receive the JSON response, including the score and answer. 
 
     ```TXT
       % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current