updates for broken links

Author: JustPies

articles/ai-services/document-intelligence/index.yml

@@ -87,10 +87,6 @@ landingContent:
         links:
            - text: Transparency notes
              url: /azure/ai-foundry/responsible-ai/document-intelligence/transparency-note?toc=/azure/ai-services/document-intelligence/toc.json&bc=/azure/ai-services/document-intelligence/breadcrumb/toc.json
-           - text: Characteristics and limitations
-             url:  /azure/ai-foundry/responsible-ai/document-intelligence/characteristics-and-limitations?toc=/azure/ai-services/document-intelligence/toc.json&bc=/azure/ai-services/document-intelligence/breadcrumb/toc.json
-           - text: Guidance for integration and responsible use
-             url: /azure/ai-foundry/responsible-ai/document-intelligence/guidance-integration-responsible-use?toc=/azure/ai-services/document-intelligence/toc.json&bc=/azure/ai-services/document-intelligence/breadcrumb/toc.json
            - text: Data privacy, compliance, and security
              url: /azure/ai-foundry/responsible-ai/document-intelligence/data-privacy-security?toc=/azure/ai-services/document-intelligence/toc.json&bc=/azure/ai-services/document-intelligence/breadcrumb/toc.json#Card 5
 

articles/ai-services/document-intelligence/quickstarts/includes/rest-api.md

@@ -33,7 +33,7 @@ In this quickstart, learn to use the Document Intelligence REST API to analyze a
 * curl command line tool installed.
 
   * [Windows](https://curl.haxx.se/windows/)
-  * [Mac or Linux](https://learn2torials.com/thread/how-to-install-curl-on-mac-or-linux-(ubuntu)-or-windows)
+  * [Mac or Linux](https://learn2torials.com/)
 
 * **PowerShell version 7.*+** (or a similar command-line application.):
   * [Windows](/powershell/scripting/install/installing-powershell-on-windows)

articles/ai-services/language-service/conversational-language-understanding/how-to/use-containers.md

@@ -87,12 +87,12 @@ docker pull mcr.microsoft.com/azure-cognitive-services/language/clu:latest
 
 After creating the exported model in the section above, users have to run the container in order to download the deployment package that was created specifically for their exported models.
 
-| Placeholder| Value|Format or example  |
+| Placeholder| Value | Format or example  |
 |---|---|---|
-| **{API_KEY}**| The key for your Language resource. You can find it on your resource's **Key and endpoint** page, on the Azure portal. | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx   | 
-| **{ENDPOINT_URI}**     | The endpoint for accessing the API. You can find it on your resource's **Key and endpoint** page, on the Azure portal. | `https://<your-custom-subdomain>.cognitiveservices.azure.com` |
-| **{IMAGE_TAG}**   | The image tag representing the language of the container you want to run. Make sure this matches the `docker pull` command you used.  | latest|
-| **{LOCAL_CLU_PORT}**| Port number assigned for the container in local machine.| 5000 |
+| **{API_KEY}**| The key for your Language resource. You can find it on your resource's **Key and endpoint** page, on the Azure portal. | See Azure portal |
+| **{ENDPOINT_URI}** | The endpoint for accessing the API. You can find it on your resource's **Key and endpoint** page, on the Azure portal. | `https://<your-custom-subdomain>.cognitiveservices.azure.com` |
+| **{IMAGE_TAG}** | The image tag representing the language of the container you want to run. Make sure this matches the `docker pull` command you used.  | latest|
+| **{LOCAL_CLU_PORT}** | Port number assigned for the container in local machine.| 5000 |
 | **{LOCAL_MODEL_DIRECTORY}** | Absolute directory in host machine where exported models are saved in. | `C:\usr\local\myDeploymentPackage` |
 | **{PROJECT_NAME}**| Name of the project that the exported model belongs to  | myProject  |
 | **{EXPORTED_MODEL_NAME}**   | Exported model to be downloaded | myExportedModel   |

articles/ai-services/language-service/custom-named-entity-recognition/overview.md

@@ -75,7 +75,7 @@ As you use custom NER, see the following reference documentation and samples for
 
 ## Responsible AI 
 
-An AI system includes not only the technology, but also the people who will use it, the people who will be affected by it, and the environment in which it is deployed. Read the [transparency note for custom NER](/azure/ai-foundry/responsible-ai/language-service/cner-transparency-note) to learn about responsible AI use and deployment in your systems. You can also see the following articles for more information:
+An AI system includes not only the technology, but also the people who will use it, the people who will be affected by it, and the environment in which it is deployed. Read the [transparency note for custom NER](/azure/ai-foundry/responsible-ai/language-service/transparency-note) to learn about responsible AI use and deployment in your systems. You can also see the following articles for more information:
 
 [!INCLUDE [Responsible AI links](../includes/overview-responsible-ai-links.md)]
 

articles/ai-services/language-service/overview.md

@@ -248,6 +248,6 @@ Use Language service containers to deploy API features on-premises. These Docker
 
 An AI system includes not only the technology, but also the people who use it, the people affected by it, and the deployment environment. Read the following articles to learn about responsible AI use and deployment in your systems:
 
-* [Transparency note for the Language service](/azure/ai-foundry/responsible-ai/text-analytics/transparency-note)
-* [Integration and responsible use](/azure/ai-foundry/responsible-ai/text-analytics/guidance-integration-responsible-use)
-* [Data, privacy, and security](/azure/ai-foundry/responsible-ai/text-analytics/data-privacy)
+* [Transparency note for the Language service](/azure/ai-foundry/responsible-ai/language-service/transparency-note)
+* [Integration and responsible use](/azure/ai-foundry/responsible-ai/language-service/guidance-integration-responsible-use)
+* [Data, privacy, and security](/azure/ai-foundry/responsible-ai/language-service/data-privacy)

articles/ai-services/language-service/personally-identifiable-information/how-to/redact-document-pii.md

@@ -68,7 +68,7 @@ A native document refers to the file format used to create the original document
 * If cURL isn't installed, here are installation links for your platform:
 
   * [Windows](https://curl.haxx.se/windows/).
-  * [Mac or Linux](https://learn2torials.com/thread/how-to-install-curl-on-mac-or-linux-(ubuntu)-or-windows).
+  * [Mac or Linux](https://learn2torials.com/).
 
 * An active [**Azure account**](https://azure.microsoft.com/free/cognitive-services/). If you don't have one, you can [**create a free account**](https://azure.microsoft.com/free/).
 

articles/ai-services/language-service/sentiment-opinion-mining/how-to/call-api.md

@@ -28,7 +28,7 @@ The labels are *positive*, *negative*, and *neutral*. At the document level, the
 | At least one `negative` sentence and at least one `positive` sentence are in the document.    | `mixed`                 |
 | All sentences in the document are `neutral`.                                                  | `neutral`               |
 
-Confidence scores range from 1 to 0. Scores closer to 1 indicate a higher confidence in the label's classification, while lower scores indicate lower confidence. For each document or each sentence, the predicted scores associated with the labels (positive, negative, and neutral) add up to 1. For more information, see the [Responsible AI transparency note](/azure/ai-foundry/responsible-ai/text-analytics/transparency-note). 
+Confidence scores range from 1 to 0. Scores closer to 1 indicate a higher confidence in the label's classification, while lower scores indicate lower confidence. For each document or each sentence, the predicted scores associated with the labels (positive, negative, and neutral) add up to 1. For more information, see the [Responsible AI transparency note](/azure/ai-foundry/responsible-ai/language-service/transparency-note). 
 
 ## Opinion Mining
 

articles/ai-services/language-service/summarization/how-to/document-summarization.md

@@ -63,7 +63,7 @@ Azure AI Language is a cloud-based service that applies Natural Language Process
 * If cURL isn't installed, here are installation links for your platform:
 
   * [Windows](https://curl.haxx.se/windows/).
-  * [Mac or Linux](https://learn2torials.com/thread/how-to-install-curl-on-mac-or-linux-(ubuntu)-or-windows).
+  * [Mac or Linux](https://learn2torials.com/).
 
 * An active [**Azure account**](https://azure.microsoft.com/free/cognitive-services/). If you don't have one, you can [**create a free account**](https://azure.microsoft.com/free/).
 

articles/ai-services/language-service/text-analytics-for-health/how-to/call-api.md

@@ -16,7 +16,7 @@ ms.custom: language-service-health
 
 [!INCLUDE [service notice](../includes/service-notice.md)]
 
-Text Analytics for health can be used to extract and label relevant medical information from unstructured texts such as doctors' notes, discharge summaries, clinical documents, and electronic health records. The service performs [named entity recognition](../concepts/health-entity-categories.md), [relation extraction](../concepts/relation-extraction.md), [entity linking](https://www.nlm.nih.gov/research/umls/sourcereleasedocs/index.html), and [assertion detection](../concepts/assertion-detection.md) to uncover insights from the input text. For information  on the returned confidence scores, see the [transparency note](/azure/ai-foundry/responsible-ai/text-analytics/transparency-note#general-guidelines-to-understand-and-improve-performance).
+Text Analytics for health can be used to extract and label relevant medical information from unstructured texts such as doctors' notes, discharge summaries, clinical documents, and electronic health records. The service performs [named entity recognition](../concepts/health-entity-categories.md), [relation extraction](../concepts/relation-extraction.md), [entity linking](https://www.nlm.nih.gov/research/umls/sourcereleasedocs/index.html), and [assertion detection](../concepts/assertion-detection.md) to uncover insights from the input text. For information  on the returned confidence scores, see the [transparency note](/azure/ai-foundry/responsible-ai/language-service/transparency-note).
 
 > [!TIP]
 > If you want to test out the feature without writing any code, use [Azure AI Foundry](https://ai.azure.com/?cid=learnDocs).

articles/ai-services/language-service/text-analytics-for-health/how-to/use-containers.md

@@ -64,7 +64,7 @@ Once the container is on the host computer, use the [docker run](https://docs.do
 > [!IMPORTANT]
 > * The docker commands in the following sections use the back slash, `\`, as a line continuation character. Replace or remove this based on your host operating system's requirements. 
 > * The `Eula`, `Billing`, and `ApiKey` options must be specified to run the container; otherwise, the container won't start.  For more information, see [Billing](#billing).
->   * The [responsible AI](/azure/ai-foundry/responsible-ai/text-analytics/transparency-note-health)  (RAI) acknowledgment must also be present with a value of `accept`.
+>   * The [responsible AI](/azure/ai-foundry/responsible-ai/language-service/transparency-note) (RAI) acknowledgment must also be present with a value of `accept`.
 > * The sentiment analysis and language detection containers use v3 of the API, and are generally available. The key phrase extraction container uses v2 of the API, and is in preview.
 
 There are multiple ways you can install and run the Text Analytics for health container.