Man-machine conversation method and system based on semantic framework

Abstract

The invention discloses a man-machine conversation method and system based on a semantic framework. The method comprises a step of creating a subject forest structure tree according to an original corpus and generating a semantic frame model by using the subject forest structure tree, and mapping an entity attribute of the subject forest tree to a corresponding semantic slot in the semantic framemodel, a step of matching a subject type for a visitor question in man-machine conversation and filling the semantic slot in the semantic frame model corresponding to the subject type with the visitorquestion, a step of mapping the visitor question of the filled semantic slot in the semantic frame model to the entity attribute of the subject forest structure tree, and a step of allowing the subject forest structure tree to carry out question matching in a knowledge base according to the visitor question, and feeding an answer corresponding to the matched question back to a visitor. Thus, an accurate and complete visitor question can be obtained, on the above basis, the accuracy of the answer is ensured and the communication efficiency is improved, the system can actively interact with thevisitor, and the user experience is improved.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a man-machine dialogue method based on a semantic framework and a system applying the method. Background technique [0002] With the popularization and application of the Internet and e-commerce, and the development of artificial intelligence technology, intelligent customer service is becoming more and more common. Intelligent customer service is an industry-oriented application developed on the basis of large-scale knowledge processing, involving large-scale knowledge processing technology, natural language understanding technology, knowledge management technology, automatic question answering system, reasoning technology, etc., and has industry versatility. It not only provides fine-grained knowledge management technology for enterprises, but also establishes a fast and effective technical means based on natural language for communication between enterprises an...

AI Technical Summary

Problems solved by technology

However, due to the Chinese language problem, there are often multiple expressions and word habits for the same question, resulting in incomprehensible answers and question words, or failure to identify the user's problem, resulting in a decline in user experience

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