Merge pull request #205255 from aahill/freshness

liljack17 · web-flow · commit 85ca5ee64376 · 2022-07-20T10:09:35.000-07:00
[Cog Svcs] freshness updates - LUIS
diff --git a/articles/cognitive-services/LUIS/concepts/entities.md b/articles/cognitive-services/LUIS/concepts/entities.md
@@ -10,7 +10,7 @@ ms.custom: seodec18
 ms.service: cognitive-services
 ms.subservice: language-understanding
 ms.topic: conceptual
-ms.date: 01/06/2022
+ms.date: 07/19/2022
 
 ---
 
diff --git a/articles/cognitive-services/LUIS/concepts/intents.md b/articles/cognitive-services/LUIS/concepts/intents.md
@@ -1,15 +1,15 @@
 ---
 title: What are intents in LUIS
 titleSuffix: Azure Cognitive Services
-description: Learn about intents concepts and how they're used in LUIS
+description: Learn about intents and how they're used in LUIS
 services: cognitive-services
 ms.author: aahi
 author: aahill
 manager: nitinme
 ms.service: cognitive-services
 ms.subservice: language-understanding
 ms.topic: conceptual
-ms.date: 03/21/2022
+ms.date: 07/19/2022
 
 ---
 # Intents 
diff --git a/articles/cognitive-services/LUIS/concepts/patterns-features.md b/articles/cognitive-services/LUIS/concepts/patterns-features.md
@@ -9,7 +9,7 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: language-understanding
 ms.topic: conceptual
-ms.date: 12/07/2021
+ms.date: 07/19/2022
 
 ---
 
diff --git a/articles/cognitive-services/LUIS/concepts/utterances.md b/articles/cognitive-services/LUIS/concepts/utterances.md
@@ -7,11 +7,11 @@ author: aahill
 ms.manager: nitinme
 ms.subservice: language-understanding
 ms.topic: conceptual
-ms.date: 04/01/2020
+ms.date: 07/19/2022
 ---
 # Utterances
 
-Utterances are inputs from users that your app needs to interpret. To train LUIS to extract intents and entities from these inputs, it's important to capture a variety of different example utterances for each intent. Active learning, or the process of continuing to train on new utterances, is essential to the machine-learning intelligence that LUIS provides.
+Utterances are inputs from users that your app needs to interpret. To train LUIS to extract intents and entities from these inputs, it's important to capture various different example utterances for each intent. Active learning, or the process of continuing to train on new utterances, is essential to the machine-learning intelligence that LUIS provides.
 
 Collect utterances that you think users will enter. Include utterances, which mean the same thing but are constructed in various ways:
 
@@ -101,7 +101,7 @@ If punctuation has no specific meaning in your client application, consider [ign
 
 ## Ignoring words and punctuation
 
-If you want to ignore specific words or punctuation in patterns, use a [pattern](/azure/cognitive-services/luis/luis-concept-patterns#pattern-syntax) with the _ignore_ syntax of square brackets, [].
+If you want to ignore specific words or punctuation in patterns, use a [pattern](/azure/cognitive-services/luis/luis-concept-patterns#pattern-syntax) with the _ignore_ syntax of square brackets, `[]`.
 
 ## Training with all utterances
 
diff --git a/articles/cognitive-services/LUIS/faq.md b/articles/cognitive-services/LUIS/faq.md
@@ -7,7 +7,7 @@ author: aahill
 ms.manager: nitinme
 ms.subservice: language-understanding
 ms.topic: conceptual
-ms.date: 01/05/2022
+ms.date: 07/19/2022
 ---
 
 # Language Understanding Frequently Asked Questions (FAQ)
@@ -122,7 +122,7 @@ By default, your LUIS app logs utterances from users. To download a log of utter
 
 ## How can I disable the logging of utterances?
 
-You can turn off the logging of user utterances by setting log=false in the Endpoint URL that your client application uses to query LUIS. However, turning off logging disables your LUIS app's ability to suggest utterances or improve performance that's based on [active learning](luis-concept-review-endpoint-utterances.md#what-is-active-learning). If you set log=false because of data-privacy concerns, you can't download a record of those user utterances from LUIS or use those utterances to improve your app.
+You can turn off the logging of user utterances by setting `log=false` in the Endpoint URL that your client application uses to query LUIS. However, turning off logging disables your LUIS app's ability to suggest utterances or improve performance that's based on [active learning](luis-concept-review-endpoint-utterances.md#what-is-active-learning). If you set `log=false` because of data-privacy concerns, you can't download a record of those user utterances from LUIS or use those utterances to improve your app.
 
 Logging is the only storage of utterances.
 
diff --git a/articles/cognitive-services/LUIS/how-to/sign-in.md b/articles/cognitive-services/LUIS/how-to/sign-in.md
@@ -7,7 +7,7 @@ author: aahill
 ms.manager: nitinme
 ms.subservice: language-understanding
 ms.topic: how-to
-ms.date: 12/14/2021
+ms.date: 07/19/2022
 ---
 # Sign in to the LUIS portal and create an app
 
diff --git a/articles/cognitive-services/LUIS/index.yml b/articles/cognitive-services/LUIS/index.yml
@@ -5,9 +5,10 @@ summary: Learn how Language Understanding enables your applications to understan
 
 metadata:
   ms.topic: landing-page
-  ms.date: 04/16/2021
-  ms.author: nitinme
-  author: nitinme
+  ms.date: 07/19/2022
+  ms.author: aahi
+  ms.manager: nitinme
+  author: aahill
   ms.service: cognitive-services
   ms.subservice: language-understanding
   services: cognitive-services
diff --git a/articles/cognitive-services/LUIS/luis-get-started-create-app.md b/articles/cognitive-services/LUIS/luis-get-started-create-app.md
@@ -3,8 +3,11 @@ title: "Quickstart: Build your app in LUIS portal"
 description: This quickstart shows how to create a LUIS app that uses the prebuilt domain `HomeAutomation` for turning lights and appliances on and off. This prebuilt domain provides intents, entities, and example utterances for you. When you're finished, you'll have a LUIS endpoint running in the cloud.
 ms.service: cognitive-services
 ms.subservice: language-understanding
+ms.author: aahi
+author: aahill
+ms.manager: nitinme
 ms.topic: quickstart
-ms.date: 10/20/2021
+ms.date: 07/19/2022
 ms.custom: ignite-fall-2021, mode-ui
 #Customer intent: As a new user, I want to quickly get a LUIS app created so I can understand the model and actions to train, test, publish, and query.
 ---
diff --git a/articles/cognitive-services/LUIS/luis-how-to-azure-subscription.md b/articles/cognitive-services/LUIS/luis-how-to-azure-subscription.md
@@ -9,7 +9,7 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: language-understanding
 ms.topic: how-to
-ms.date: 03/21/2022
+ms.date: 07/19/2022
 ms.custom: contperf-fy21q4, devx-track-azurecli 
 ms.devlang: azurecli
 ---
@@ -43,7 +43,7 @@ You can use the [v3.0-preview LUIS Endpoint API](https://westus.dev.cognitive.mi
 
 ## Create LUIS resources
 
-To create LUIS resources, you can use the LUIS portal, [Azure portal](https://portal.azure.com/#create/Microsoft.CognitiveServicesLUISAllInOne), or Azure CLI. After you've created your resources, you will need to assign them to your apps to be used by them.
+To create LUIS resources, you can use the LUIS portal, [Azure portal](https://portal.azure.com/#create/Microsoft.CognitiveServicesLUISAllInOne), or Azure CLI. After you've created your resources, you'll need to assign them to your apps to be used by them.
 
 # [LUIS portal](#tab/portal)
 
@@ -262,7 +262,7 @@ You can configure your metrics charts for a specific **time period** and **metri
 ## Total transactions threshold alert
 If you want to know when you reach a certain transaction threshold, for example 10,000 transactions, you can create an alert:
 
-1. From the left side menu select **Alerts**
+1. From the left side menu, select **Alerts**
 2. From the top menu select **New alert rule**
 
     :::image type="content" source="./media/luis-usage-tiers/alerts.png" alt-text="Screenshot that shows the alert rules page." lightbox="./media/luis-usage-tiers/alerts.png":::
diff --git a/articles/cognitive-services/LUIS/what-is-luis.md b/articles/cognitive-services/LUIS/what-is-luis.md
@@ -5,14 +5,17 @@ keywords: Azure, artificial intelligence, ai, natural language processing, nlp,
 ms.service: cognitive-services
 ms.subservice: language-understanding
 ms.topic: overview
-ms.date: 10/20/2021
+ms.date: 07/19/2022
 ms.custom: cog-serv-seo-aug-2020, ignite-fall-2021
+ms.author: aahi
+author: aahill
+ms.manager: nitinme
 ---
 
 # What is Language Understanding (LUIS)?
 
 > [!NOTE]
-> A newer version of Language Understanding capabilities are now available as part of Azure Cognitive Service for Language. For more information see [Azure Cognitive Service for Language Documentation](../language-service/index.yml). For language understanding capabilities within the Language Service, see [Conversational Language Understanding](../language-service/conversational-language-understanding/overview.md), [Custom Named Entity Recognition](../language-service/custom-named-entity-recognition/overview.md), and [Custom Classification](../language-service/custom-classification/overview.md).
+> A newer version of Language Understanding capabilities are now available as part of Azure Cognitive Service for Language. For more information, see [Azure Cognitive Service for Language Documentation](../language-service/index.yml). For language understanding capabilities within the Language Service, see [Conversational Language Understanding](../language-service/conversational-language-understanding/overview.md), [Custom Named Entity Recognition](../language-service/custom-named-entity-recognition/overview.md), and [Custom Classification](../language-service/custom-classification/overview.md).
 
 Language Understanding (LUIS) is a cloud-based conversational AI service that applies custom machine-learning intelligence to a user's conversational, natural language text to predict overall meaning, and pull out relevant, detailed information. LUIS provides access through its [custom portal](https://www.luis.ai), [APIs][endpoint-apis] and [SDK client libraries](client-libraries-rest-api.md).
 
@@ -31,7 +34,7 @@ This documentation contains the following article types:
 ## What does LUIS Offer 
 
 * **Simplicity**: LUIS offloads you from the need of in-house AI expertise or any prior machine learning knowledge. With only a few clicks you can build your own conversational AI application. You can build your custom application by following one of our [quickstarts](luis-get-started-create-app.md), or you can use one of our [prebuilt domain](luis-get-started-create-app.md) apps.
-* **Security, Privacy and Compliance**: Backed by Azure infrastructure, LUIS offers enterprise-grade security, privacy, and compliance. Your data remains yours; you can delete your data at any time. Your data is encrypted while it’s in storage. Learn more about this [here](https://azure.microsoft.com/support/legal/cognitive-services-compliance-and-privacy).
+* **Security, Privacy and Compliance**: LUIS is backed by Azure infrastructure, which offers enterprise-grade security, privacy, and compliance. Your data remains yours; you can delete your data at any time. Your data is encrypted while it’s in storage. Learn more about this [here](https://azure.microsoft.com/support/legal/cognitive-services-compliance-and-privacy).
 * **Integration**: easily integrate your LUIS app with other Microsoft services like [Microsoft Bot framework](/composer/tutorial/tutorial-luis), [QnA Maker](../QnAMaker/choose-natural-language-processing-service.md), and [Speech service](../speech-service/get-started-intent-recognition.md).
 
 
