Dialogue intention recognition method and device, electronic equipment and readable storage medium

Abstract

The invention provides a dialogue intention recognition method and device, electronic equipment and a readable storage medium. A natural language understanding model is utilized to determine a possibility score of each intention corresponding to a consultation dialogue; if a real intention capable of representing the consultation dialogue does not exist in at least one first intention determined according to the possibility score, determining a target keyword from the consultation dialogue by utilizing a configured business keyword model, and searching at least one second intention matched with the target keyword in a business knowledge graph; and if the at least one second intention does not include the first intention with the highest possibility score, further determining a real intention indicated by the consultation dialogue from the at least one second intention according to the feedback of the user. In this way, the accuracy of user intention recognition can be improved, and the situation that due to the fact that the character generalization ability of a natural language understanding model is insufficient, the recognition accuracy is low, and the intention of the user cannot be recognized is avoided.

Description

technical field [0001] The present application relates to the technical field of intent recognition, and in particular to a dialog intent recognition method, device, electronic equipment, and readable storage medium. Background technique [0002] With the continuous development of artificial intelligence technology, the application of artificial intelligence dialogue robots has become more and more extensive, and has continuously penetrated into all aspects of life. Therefore, people's expectations and requirements for artificial intelligence dialogue robots are also getting higher and higher. People hope AI conversational robots can answer broader questions and handle more complex businesses. The key to AI dialogue robot processing business is whether it can accurately identify the user's true intention. If it cannot accurately identify the user's true intention, it will not be able to provide services to users. [0003] At present, in the context of big data, cloud comput...

AI Technical Summary

Problems solved by technology

The key to AI dialogue robot processing business is whether it can accurately identify the real intention of the user. If it cannot accurately identify the real intention of the user, it will not be able to provide services for the user.

[0003] At present, in the context of big data, cloud computing and other technologies, people usually choose model recognition (for example, natural language understanding model, that is, NLU model) to help artificial intelligence dialogue robots determine the user's intention; however, well-trained The model has certain probabilities and lacks the generalization ability of words. If the vocabulary used in the dialogue given by the user is not standard enough, the model cannot accurately identify the user's intention. Therefore, it cannot give the user the correct guidance, resulting in intention recognition error

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