Merge pull request #213092 from sdgilley/sdg-main-ner

NER going GA

Author: 19BMG00

articles/machine-learning/how-to-create-text-labeling-projects.md

@@ -7,7 +7,7 @@ ms.author: sgilley
 ms.service: machine-learning
 ms.subservice: mldata
 ms.topic: how-to
-ms.date: 03/18/2022
+ms.date: 09/29/2022
 ms.custom: data4ml, ignite-fall-2021
 ---
 
@@ -50,12 +50,7 @@ Data formats available for text data:
 
     * Choose **Text Classification Multi-class** for projects when you want to apply only a *single label* from a set of labels to each piece of text.
     * Choose **Text Classification Multi-label** for projects when you want to apply *one or more* labels from a set of labels to each piece of text. 
-    * Choose **Text Named Entity Recognition (Preview)** for projects when you want to apply labels to individual or multiple words of text in each entry.
-
-    > [!IMPORTANT]
-    > Text Named Entity Recognition is currently in public preview.
-    > The preview version is provided without a service level agreement, and it's not recommended for production workloads. Certain features might not be supported or might have constrained capabilities.
-    > For more information, see [Supplemental Terms of Use for Microsoft Azure Previews](https://azure.microsoft.com/support/legal/preview-supplemental-terms/).
+    * Choose **Text Named Entity Recognition** for projects when you want to apply labels to individual or multiple words of text in each entry.
 
 1. Select **Next** when you're ready to continue.
 
@@ -79,7 +74,7 @@ To create a dataset from data that you've already stored in Azure Blob storage:
 1. Select **Create a dataset** > **From datastore**.
 1. Assign a **Name** to your dataset.
 1. Choose the **Dataset type**:
-    * Select **Tabular** if you're using a .csv or .tsv file, where each row contains a response. Tabular isn't available for Text Named Entity Recognition projects.
+    * Select **Tabular** if you're using a .csv or .tsv file, where each row contains a response.
     * Select **File** if you're using separate .txt files for each response.
 1. (Optional) Provide a description for your dataset.
 1. Select **Next**.
@@ -97,7 +92,7 @@ To directly upload your data:
 1. Select **Create a dataset** > **From local files**.
 1. Assign a **Name** to your dataset.
 1. Choose the **Dataset type**.
-    * Select **Tabular** if you're using a .csv or .tsv file, where each row is a response. Tabular isn't available for Text Named Entity Recognition projects. 
+    * Select **Tabular** if you're using a .csv or .tsv file, where each row is a response. 
     * Select **File** if you're using separate .txt files for each response.
 1. (Optional) Provide a description of your dataset.
 1. Select **Next**
@@ -111,12 +106,12 @@ To directly upload your data:
 1.  Confirm the details. Select **Back** to modify the settings or **Create** to create the dataset.
 
 
-## <a name="incremental-refresh"> </a> Configure incremental refresh
+## Configure incremental refresh
 
 [!INCLUDE [refresh](../../includes/machine-learning-data-labeling-refresh.md)]
 
 > [!NOTE]
-> Incremental refresh isn't available for projects that use tabular (.csv or .tsv) dataset input.
+> Incremental refresh is available for projects that use tabular (.csv or .tsv) dataset input. However, only new tabular files are added.  Changes to existing tabular files will not be recognized from the refresh.
 
 ## Specify label classes
 
@@ -211,7 +206,7 @@ For all project types other than **Text Named Entity Recognition**, you can expo
 
 
 For **Text Named Entity Recognition** projects, you can export:
-* An [Azure Machine Learning dataset with labels](v1/how-to-use-labeled-dataset.md). 
+* An [Azure Machine Learning dataset (v1) with labels](v1/how-to-use-labeled-dataset.md). 
 * A CoNLL file.  For this export, you'll also have to assign a compute resource. The export process runs offline and generates the file as part of an experiment run.  When the file is ready to download, you'll see a notification on the top right.  Select this to open the notification, which includes the link to the file.
 
     :::image type="content" source="media/how-to-create-text-labeling-projects/notification-bar.png" alt-text="Notification for file download.":::

articles/machine-learning/how-to-label-data.md

@@ -143,7 +143,7 @@ To delete *all* bounding boxes in the current image, select the **Delete all reg
 
 After you create the bounding boxes for an image, select **Submit** to save your work, or your work in progress won't be saved.
 
-## Tag images and specify polygons for image segmentation 
+## Tag images and specify polygons for image segmentation
 
 If your project is of type "Instance Segmentation (Polygon)," you'll specify one or more polygons in the image and apply a tag to each polygon. Images can have multiple bounding polygons, each with a single tag. Use **View detailed instructions** to determine if multiple bounding polygons are used in your project.
 
@@ -165,7 +165,7 @@ To delete *all* polygons in the current image, select the **Delete all regions**
 
 After you create the polygons for an image, select **Submit** to save your work, or your work in progress won't be saved.
 
-## <a name="label-text"></a>Label text
+## Label text
 
 When tagging text, use the toolbar to:
 
@@ -181,16 +181,12 @@ There are three text project types:
 |---------|---------|
 | Classification Multi-Class | Assign a single tag to the entire text entry.  You can only select one tag for each text item.  Select a tag and then select **Submit** to move to the next entry.  |
 | Classification Multi-Label     | Assign one *or more* tags to each text entry.  You can select multiple tags for each text item.   Select all the tags that apply and then select **Submit** to move to the next entry.    |
-| Named entity recognition (preview) | Tag different words or phrases in each text entry.  See directions in the section below.
+| Named entity recognition | Tag different words or phrases in each text entry.  See directions in the section below.
 
-> [!IMPORTANT]
-> Named entity recognition is in public preview.
-> The preview version is provided without a service level agreement, and it's not recommended for production workloads. Certain features might not be supported or might have constrained capabilities. 
-> For more information, see [Supplemental Terms of Use for Microsoft Azure Previews](https://azure.microsoft.com/support/legal/preview-supplemental-terms/).
 
 To see the project-specific directions, select **Instructions** and go to **View detailed instructions**.
 
-### Tag words and phrases (preview)
+### Tag words and phrases 
 
 If your project is set up for named entity recognition, you tag different words or phrases in each text item. To label text: