Conversation data processing method and device, computer equipment and storage medium

Abstract

The invention relates to a conversation data processing method and device, computer equipment and a storage medium. The method comprises the following steps of: ; obtaining a current to-be-supplemented condition from a preset condition relationship network according to a preset rule, supplementing conditions based on current to-be-supplemented conditions, pushing the corresponding questioning verbal skill; receiving verbal skill data fed back by the user for the questioning verbal skill, and extracting a condition value in the verbal skill data, whether the extracted condition value cannot bematched with the current to-be-supplemented condition or not is judged according to the preset condition relationship network, if yes, preset verbal skill prompt operation is executed, and the presetverbal skill prompt operation is used for guiding a user to input the condition value matched with the current to-be-supplemented condition. According to the scheme, whether the extracted condition value is matched with the to-be-supplemented condition or not is judged according to the preset condition relationship network, the problem of verbal skill data fed back by the user can be inferred, andthe user is actively guided to input the correct condition value so as to correctly describe the related service situation to obtain the correct feedback content, and the conversation interaction efficiency is improved.

Description

technical field [0001] The present application relates to the technical fields of natural language processing and artificial intelligence, in particular to a dialogue data processing method, device, computer equipment and storage medium. Background technique [0002] With the rapid development of big data and artificial intelligence technology, dialogue robots based on big data, artificial intelligence and machine learning technologies are becoming more and more popular. In addition to dialogue robots used for daily chatting, more and more business-oriented dialogue robots are applied in various fields. [0003] At present, dialogue robots can meet the needs of users to a certain extent. They can chat with users, answer questions for users, help users perform certain operations, and so on. In the traditional multi-round dialogue scheme between the dialogue robot and the user, the user will gradually complete the intention under the guidance of the robot. It is impossible t...

AI Technical Summary

Problems solved by technology

In the traditional multi-round dialogue scheme between the dialogue robot and the user, the user will gradually complete the intention under the guidance of the robot. It is impossible to correct the user's wrong business situation cognition and guide the user to describe it correctly again, so that the dialogue cannot continue, so that the dialogue interaction efficiency is low

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