Problem explanation element generation method and device, medium and electronic equipment

Abstract

The invention relates to the field of knowledge reasoning, and discloses a problem explanation element generation method and device, a medium and electronic equipment. The method comprises the following steps: constructing an interpretation element multi-classification model based on a problem interpretation sample set; inputting the target problem information into an explanation element multi-classification model to obtain a plurality of explanation elements; according to a correlation model, determining the correlation degree between each interpretation element and the target problem information; generating all interpretation element combinations corresponding to the plurality of interpretation elements, and constructing a graph structure corresponding to each interpretation element combination according to each interpretation element combination and the relevancy; performing image cutting operation on each image structure by using the tangent line, and determining an interpretation element group and image cutting loss corresponding to each image cutting operation; and determining a target image cutting loss according to the image cutting loss corresponding to each image cutting operation, and taking the explanation elements in the explanation element group corresponding to the target image cutting loss as target explanation elements. According to the method, the corresponding explanation elements can be efficiently and accurately generated for the target problem information.

Description

technical field

[0001] The present disclosure relates to the technical field of knowledge reasoning, and in particular, to a method, apparatus, medium and electronic device for generating explanation elements of a problem. Background technique

[0002] In many fields, people will face some problems. In order to solve these problems, relevant professionals need to provide certain decisions. For example, when a patient is looking for a doctor of traditional Chinese medicine, the doctor of traditional Chinese medicine needs to consult the patient to determine the cause.

[0003] At present, people need to make decisions through brain thinking, which not only relies on human experience, but also the decision-making process is very inefficient, costly, and difficult to guarantee the accuracy of decision-making. SUMMARY OF THE INVENTION

[0004] In the technical field of knowledge reasoning, in order to solve the technical problems that cannot be efficiently answered in the pr...

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