영어에서 Conversation management 을 사용하는 예와 한국어로 번역
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More detailed discussion about the implementation of the conversation management system 102 is provided below.
In some embodiments, the conversation management system 102 creates a snippet of the conversation at step 320.
The browser then associates the user-selected conversations with the user-selected label at step 506 and sends them back to the conversation management system for further processing at step 508.
In addition, the conversation management system generates a list of user-selectable actions and a list of user-selectable labels at step 305.
For each conversation and an associated set of messages, the conversation management system 102 first generates a sender list at step 307.
The conversation management system 102 then prepares information about those conversations for display at step 304, as will be described in more detail next.
The browser then associates the user-selected conversations with the user-selected actions at step 406 and sends them back to the conversation management system for further processing at step 408.
Next, the conversation management system 102 formats the sender list so as to highlight one or more sender identifiers in the list according to the display instructions at step 308.
This is the most important part of a voice conversation system. Conversation processing technology based on natural language provides language analysis and understanding as well as conversation management and utterance generation functionality.
Accordingly, the conversation management system 102 at step 318 creates a recipient status indicator for the user, which is another indicator of the user's participation in the conversation. .
With respect to group box 347, when the user selects(e.g., clicks on)a user-defined label in group box 347, the conversation assistant 110 submits to the conversation management system a query to locate conversations associated with the user-selected label.
Conversation management tools such as API. ai and IBM Watson Conversation or Dialog services can help you randomly select from a list of prepared answers in each scenario.
Because many of the tasks performed by the system can be performed by either the conversation management system 102 or the conversation assistant 110 or by the two working together, these two components are sometimes herein referred to jointly as the“conversation system.”.
The conversation management system 102 and the conversation assistant 110 work together to generate search results corresponding to the query and to present the results to the user in a highly intuitive fashion.
In some embodiments, if the user himself has authored at least one message in the conversation, the conversation management system 102 replaces the user's name or other identifier in the sender list with a unique character string or icon or other output cue for him as his identifier in the sender list at step 310.
At step 304, the conversation management system 102 repeatedly conducts a series of steps(from step 306 to step 324) to generate a set of fields for each conversation in the list of conversations. .
All the messages directed to a user of the conversation management system 102 are grouped into a plurality of conversations and presented to the user in a conversation-based format, individually or jointly.
The conversation management system 102 and the conversation assistant 110 work together to allow a user to search the messages in the user's mail account and to present the search results in a highly intuitive fashion.
At step 314, the conversation management system 102 creates a message number indicator for the conversation, indicating the number of messages in the conversation, excluding messages permanently deleted or marked for deletion.
The conversation management system 102 extracts information from the user's email account or processes a message being composed by the user, while the conversation assistant 110 renders the information prepared by the conversation management system 102.
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