Ten-thousand-level intention classification method and device, storage medium and electronic equipment

Abstract

The invention relates to the technical field of artificial intelligence, and provides a ten-thousand-level intention classification method and device, a storage medium and electronic equipment. The ten-thousand-level intention classification method comprises the steps of obtaining a dialogue statement of at least one round of dialogue with a user; performing context analysis on the dialogue statement to complement the context information of the dialogue; performing semantic analysis on the dialogue statement to obtain a plurality of candidate intentions of the user; and based on the pluralityof candidate intentions and the complemented dialogue context information, determining a real intention of the user by utilizing an intention decision model constructed based on a reinforcement learning algorithm. The method is realized based on a brand-new three-layer man-machine conversation technology framework. According to the method, the plurality of candidate intentions are obtained throughsemantic analysis on a semantic understanding layer, complemented context information is obtained through context analysis on a logical reasoning layer, dynamic decision making is conducted on a decision judgment layer through an intention decision making model according to the candidate intentions and the complemented context information, and the accuracy of intention classification through themethod is high.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, and in particular, relates to a ten-thousand-level intent classification method, device, storage medium, and electronic equipment. Background technique [0002] In recent years, perceptual intelligence represented by deep learning has reached a new level close to human beings and even surpassing human level in some application fields in terms of automatic mining and recognition of video, image, voice and text features. The perceptual intelligence technology enabled by deep learning is getting closer to its "ceiling", but there is still a big gap between machines in terms of human cognitive ability simulation, that is, cognitive intelligence. How to make machines cognitively intelligent is a major application requirement and technical challenge in the field of artificial intelligence. [0003] Natural human-computer dialogue is one of the most classic technical applicati...

AI Technical Summary

Problems solved by technology

[0004] With the increasing rise and popularization of applications such as intelligent customer service and intelligent assistants, human-machine dialogue technology has developed rapidly, but in general, most of the current enterprise-oriented human-computer dialogue products are weak in identifying user intentions (for example, can only classify hundreds of intents), and can only meet the dialogue needs of small and medium-sized enterprises in simple business scenarios, while a considerable number of large enterprises have multiple application scenarios in the process of applying man-machine dialogue technology to empower enterprise innovation. , complex types of business, fine customer needs, etc., require high recognition ability of user intentions (for example, to classify tens of thousands of intentions), the existing man-machine dialogue technology can not meet such requirements

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