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

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@@ -49,18 +49,18 @@ For more information, *see* [**Use native documents for language processing**](.
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There are the aspects of document summarization this API provides:
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* [**Extractive summarization**](/how-to/document-summarization#try-document-extractive-summarization): Produces a summary by extracting salient sentences within the document.
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* [**Extractive summarization**](how-to/document-summarization#try-document-extractive-summarization): Produces a summary by extracting salient sentences within the document.
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* Multiple extracted sentences: These sentences collectively convey the main idea of the document. They're original sentences extracted from the input document's content.
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* Rank score: The rank score indicates how relevant a sentence is to a document's main topic. Document summarization ranks extracted sentences, and you can determine whether they're returned in the order they appear, or according to their rank.
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* Multiple returned sentences: Determine the maximum number of sentences to be returned. For example, if you request a three-sentence summary extractive summarization returns the three highest scored sentences.
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* Positional information: The start position and length of extracted sentences.
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* [**Abstractive summarization**](/how-to/document-summarization#try-document-abstractive-summarization): Generates a summary that doesn't use the same words as in the document, but captures the main idea.
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* [**Abstractive summarization**](how-to/document-summarization.md#try-document-abstractive-summarization): Generates a summary that doesn't use the same words as in the document, but captures the main idea.
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* Summary texts: Abstractive summarization returns a summary for each contextual input range within the document. A long document can be segmented so multiple groups of summary texts can be returned with their contextual input range.
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* Contextual input range: The range within the input document that was used to generate the summary text.
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* [**Query-focused summarization**](/how-to/document-summarization#query-based-summarization): Generates a summary based on a query
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* [**Query-focused summarization**](how-to/document-summarization.md#query-based-summarization): Generates a summary based on a query
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As an example, consider the following paragraph of text:
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Conversation summarization supports the following features:
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* [**Issue/resolution summarization**](/how-to/conversation-summarization#get-summaries-from-text-chats): A call center specific feature that gives a summary of issues and resolutions in conversations between customer-service agents and your customers.
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* [**Chapter title summarization**](/how-to/conversation-summarization#get-chapter-titles): Segments a conversation into chapters based on the topics discussed in the conversation, and gives suggested chapter titles of the input conversation.
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* [**Recap**](how-to/conversation-summarization#get-narrative-summarization): Summarizes a conversation into a brief paragraph.
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* [**Narrative summarization**](/how-to/conversation-summarization#get-narrative-summarization): Generates detail call notes, meeting notes or chat summaries of the input conversation.
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* [**Follow-up tasks**](/how-to/conversation-summarization#get-narrative-summarization): Gives a list of follow-up tasks discussed in the input conversation.
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* [**Issue/resolution summarization**](how-to/conversation-summarization.md#get-summaries-from-text-chats): A call center specific feature that gives a summary of issues and resolutions in conversations between customer-service agents and your customers.
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* [**Chapter title summarization**](how-to/conversation-summarization.md#get-chapter-titles): Segments a conversation into chapters based on the topics discussed in the conversation, and gives suggested chapter titles of the input conversation.
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* [**Recap**](how-to/conversation-summarization.md#get-narrative-summarization): Summarizes a conversation into a brief paragraph.
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* [**Narrative summarization**](how-to/conversation-summarization.md#get-narrative-summarization): Generates detail call notes, meeting notes or chat summaries of the input conversation.
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* [**Follow-up tasks**](how-to/conversation-summarization.md#get-narrative-summarization): Gives a list of follow-up tasks discussed in the input conversation.
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## When to use issue and resolution summarization
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