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What does the beta label mean? Orbita Answers vNext
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The questions in the KB can be organized in a tree view in this tab.
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There are two types of Root type options in the Answers v2 Manager node. They are Ancestor and Parent types. More information on Root types is here https://orbita.atlassian.net/wiki/spaces/OCS/pages/2087288839/Answers+v2+Manager+node#Answers-v2-Manager-node-properties
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Advanced tab
This tab includes Settings, and Import, Export of the CSV files.
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Refer How do I create a .csv file for Answers vNextv2? for details on how the .csv file is structured.
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Labels can be referenced in question variations. The syntax is to use the @ sign to reference them. Both labels & their synonyms can be referenced in the question variations.
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Orbita creates one label intent and one label slot per KB. The Label slot is mapped to the Label intent for that KB.
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Synonyms of a label are added to the respective slot line item as synonyms.
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When there is a common Label given to a set of questions, the system cannot recognize the correct Primary question answer. The User must provide a primary question or its variations.
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Synonyms
You can add synonyms to the Labels using the Synonyms button at the top right corner of the page while editing the contents of the KB.
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The chatbot user asks an unambiguous question “What is diabetes?” as the utterance is associated with the Primary question (or one of its variations) the question context is set to this primary question.
Here, if the user utterance is “diabetes“ then the label intent will get triggered. Since the diabetes label is associated with only one primary question, the question context is set to this primary question.The chatbot user then asks “What are the symptoms?“. This will trigger the label intent and since the label “Symptoms” is associated with two different Primary questions, it is an ambiguous question.
Here, since there is not a single answer to this question, the chatbot will ask the user to rephrase the question.
The chatbot user asks a question “What is cancer?” which triggers a Parent primary question and sets the context.
The chatbot user then asks “What are the symptoms?“, the bot will now understand that the chatbot user is asking about the “symptoms of cancer” and provides the respective answer.
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