Management method for intelligent robot interaction process, multi-round dialogue method and device

Abstract

The embodiment of the present application provides a management method for an intelligent robot interaction process, a multi-round dialogue method and device. Specifically, a multi-round dialogue process comprising at least one node is created; a trigger condition, a reply content and a follow-up action of the node are set; dialogue requirements in different manners are satisfied by setting a flexible triggering condition for the multi-round dialogue process; the dialogue logic can be connected and the user can be guided to continue the content of the dialogue by setting the reply content of the node so that the dialogue content is carried out towards the direction of solving the business problem; the follow-up action of the node is set so that the multi-round dialogue process has the ability to flexibly jump nodes according to the dialogue content of the user and the decision-making ability to guide the dialogue into other multi-round dialogue processes. In summary, the technical scheme provided by the embodiment of the present application manages the multi-round dialogue from multiple angles, strictly defines the sequence of conversations, implements the guidance of the content of the user dialogue and has the decision management ability to flexibly respond to complex dialogue forms.

Description

technical field [0001] The present application relates to the technical field of natural language processing, and in particular to a management method for an intelligent robot interaction process, a multi-round dialogue method and a device. Background technique [0002] Driven by today's hot big data and artificial intelligence technology, dialogue robots based on big data, machine learning and other technologies continue to emerge. The chatbot can generate corresponding responses based on the chat content entered by the user. In addition to dialogue robots used for daily chatting, more and more business-oriented dialogue robots are applied in various fields to meet corresponding business needs, such as: offline service robots in the lobby of banks, online JD JIMI customer service Robots, and voice assistants built into mobile terminals or APPs, etc. [0003] In order to enable the dialogue robot to have a human-like business dialogue expression ability, some solutions in ...

AI Technical Summary

Problems solved by technology

[0004] However, in the prior art, the method of managing multiple rounds of dialogue only from a single point of view such as understanding user intentions does not take into account the complex dialogue forms faced by dialogue robots in an open context, and does not have the decision-making management ability to flexibly deal with complex dialogue forms

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