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correctness fix
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articles/cognitive-services/language-service/summarization/how-to/conversation-summarization.md

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@@ -24,7 +24,7 @@ ms.custom: language-service-summarization, ignite-fall-2021, event-tier1-build-2
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- Chapter title and narrative (general conversation) are designed to summarize a conversation into chapter titles, and a summarization of the conversation's contents. This summarization type works on conversations with any number of parties.
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- Issues and resolution (call center focused) is designed to summarize text chat logs between customers and customer-service agents. This feature is capable of providing both issues and resolutions present in these logs, which occur between two parties.
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- Issue and resolution (call center focused) is designed to summarize text chat logs between customers and customer-service agents. This feature is capable of providing both issues and resolutions present in these logs, which occur between two parties.
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:::image type="content" source="../media/conversation-summary-diagram.svg" alt-text="A diagram for sending data to the conversation summarization issues and resolution feature.":::
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articles/cognitive-services/language-service/summarization/how-to/document-summarization.md

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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:
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* Key phrase extraction returns phrases while extractive summarization returns sentences.
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* Extractive summarization returns sentences together with a rank score, and. Top ranked sentences will be returned per request.
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* Extractive summarization returns sentences together with a rank score, and top ranked sentences will be returned per request.
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* Extractive summarization also returns the following positional information:
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* Offset: The start position of each extracted sentence.
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* Length: The length of each extracted sentence.
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```
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2. Make the following changes in the command where needed:
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- Replace the value `your-language-resource-key` with your key.
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- Replace the first part of te request URL `your-language-resource-endpoint` with your endpoint URL.
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- Replace the first part of the request URL `your-language-resource-endpoint` with your endpoint URL.
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3. Open a command prompt window (for example: BASH).
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