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 prompting verbalskill, receiving feedback data input by the user for the prompting verbal skill, skipping to a sub-conversation process corresponding to the current to-be-supplemented condition if the feedback datais detected to meet a preset process skipping condition, extracting a condition value input by the user in the sub-conversation process, and supplementing the current to-be-supplemented condition according to the extracted condition value. According to the scheme, therefore, the customer service robot has the capability of processing complex conversations; therefore, when the user cannot understand the guide content and cannot extract the required condition value from the user feedback data, the corresponding sub-conversation process can be skipped to in a targeted manner, and the user is guided to input the condition value meeting the requirement to supplement the to-be-supplemented condition, so that the user can 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 development of natural language processing technology and artificial intelligence technology, various intelligent dialogue systems for human-computer interaction have emerged. Intelligent dialogue systems are more and more widely used in application scenarios or products such as intelligent customer service, intelligent outbound calls, and smart speakers. Through dialogue systems, people can use natural language to interact with computers in multiple rounds to complete specific tasks, such as information query. , service acquisition, etc. [0003] At present, when a user asks an intelligent customer service robot some complex questions during multiple rounds of dialogue, it may be necessary for the cus...

AI Technical Summary

Problems solved by technology

However, different users have different levels of cognition on the same question. If the user cannot truly understand the guidance content of the customer service robot and gives an unclear reply, the customer service robot cannot provide further targeted guidance, resulting in the inability to continue the conversation. In this way, the efficiency of dialogue interaction is low

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