Merge pull request #191935 from aahill/offset-length

offset and length information

Author: PRMerger7

articles/cognitive-services/language-service/text-summarization/how-to/call-api.md

@@ -8,7 +8,7 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: language-service
 ms.topic: how-to
-ms.date: 03/01/2022
+ms.date: 03/16/2022
 ms.author: aahi
 ms.custom: language-service-summarization, ignite-fall-2021
 ---
@@ -37,7 +37,11 @@ Extractive summarization returns a rank score as a part of the system response a
 
 There is another feature in Azure Cognitive Service for Language, [key phrases extraction](./../../key-phrase-extraction/how-to/call-api.md), that can extract key information. When deciding between key phrase extraction and extractive summarization, consider the following:
 * key phrase extraction returns phrases while extractive summarization returns sentences
-* extractive summarization returns sentences together with a rank score. Top ranked sentences will be returned per request
+* extractive summarization returns sentences together with a rank score, and. Top ranked sentences will be returned per request
+* extractive summarization also returns the following positional information:
+    * offset: The start position of each extracted sentence, and
+    * Length: is the length of each extracted sentence.
+
 
 ## Determine how to process the data (optional)
 
@@ -83,7 +87,6 @@ Using the above example, the API might return the following summarized sentences
 
 *"At the intersection of all three, there’s magic—what we call XYZ-code as illustrated in Figure 1—a joint representation to create more powerful AI that can speak, hear, see, and understand humans better."*
 
-
 ## Service and data limits
 
 [!INCLUDE [service limits article](../../includes/service-limits-link.md)]

articles/cognitive-services/language-service/text-summarization/overview.md

@@ -8,7 +8,7 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: language-service
 ms.topic: overview
-ms.date: 03/01/2022
+ms.date: 03/16/2022
 ms.author: aahi
 ms.custom: language-service-summarization, ignite-fall-2021
 ---
@@ -40,6 +40,7 @@ Text summarization supports the following features:
 * **Extracted sentences**: These sentences collectively convey the main idea of the document. They’re original sentences extracted from the input document’s content.
 * **Rank score**: The rank score indicates how relevant a sentence is to a document's main topic. Text summarization ranks extracted sentences, and you can determine whether they're returned in the order they appear, or according to their rank.
 * **Maximum sentences**: Determine the maximum number of sentences to be returned. For example, if you request a three-sentence summary Text summarization will return the three highest scored sentences.
+* **Positional information**: The start position and length of extracted sentences.
 
 ## Get started with text summarization