Method, device and equipment for generating intelligent question and answer system, medium and question and answer system

Abstract

The embodiment of the invention discloses a method, device and equipment for generating an intelligent question and answer system, a medium and the intelligent question and answer system. The generation method comprises the steps of obtaining a graphical question and answer flow chart; generating a processing framework matched with the question and answer flow chart according to the graphic components included in the question and answer flow chart, the graphic components comprising transaction nodes associated with a service interface for executing a set type of service; generating user-defined codes corresponding to the graphic components respectively according to the user-defined configuration information matched with the graphic components in the question and answer flow chart, and adding the user-defined codes to the positions, associated with the graphic components, in the processing framework; and adding theme knowledge points corresponding to the question and answer process module to the knowledge base. According to the scheme provided by the embodiment of the invention, quick calling of one existing function or service is realized, repeated writing or transplanting of codeswith the same function is avoided, the simplicity of the codes realized by the intelligent question and answer system is ensured, and quick construction and updating of the intelligent question and answer system are realized.

Description

technical field [0001] Embodiments of the present invention relate to intelligent question answering technology, and in particular to a method, device, terminal device, storage medium, and intelligent question answering system for generating an intelligent question answering system. Background technique [0002] Human-computer interaction is a science that studies the interactive relationship between systems and users. A system can be a variety of machines, or it can be computerized systems and software. For example, various artificial intelligence systems (intelligent customer service systems, voice control systems, etc.) can be realized through human-computer interaction. Artificial intelligence semantic recognition is the basis of human-computer interaction, which can recognize human language and convert it into a language that machines can understand. [0003] The intelligent question answering system is a typical application of human-computer interaction, in which whe...

AI Technical Summary

Problems solved by technology

When this situation occurs, developers may need to repeatedly write process codes to achieve the same function or transplant an already compiled process code to other process codes, which will result in heavy workload and high error rate; After the process designer puts forward the requirements, the developer implements the writing of the corresponding code

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