Dialogue intention recognition method and system based on multi-dimensional semantic interaction representation model

Abstract

The invention discloses a dialogue intention recognition method and system based on a multi-dimensional semantic interaction representation model, and belongs to the field of natural language processing dialogue systems. The method comprises the steps that (1) establishing a dialogue knowledge base wherein the knowledge base comprises universal common dialogue data, statements of a user in a business scene and intentions to which the corresponding statements belong; (2) performing feature extraction based on a pre-trained language model on dialogue information in the dialogue knowledge base toobtain a semantic vector; (3) obtaining a semantic vector of the current dialogue information; (4) constructing an interactive attention mechanism and a convolutional neural network in combination with semantic vectors of the dialogue statement and the current dialogue statement in the knowledge base, and calculating to obtain a confidence coefficient; and (5) screening the confidence coefficients to obtain an intention recognition result or judge that the intention in the knowledge base is missed. According to the method, the problems that a traditional pre-trained language model does not focus on the semantic information level, so that the distinction degree is insufficient, and sensitive information is neglected are solved, and the recognition accuracy is higher.

Description

technical field [0001] The present invention relates to the field of natural language processing dialogue systems, in particular to a dialogue intention recognition method and system based on a multi-dimensional semantic interaction representation model. Background technique [0002] In recent years, intelligent customer service based on artificial intelligence has gradually replaced traditional manual customer service. As one of the most critical cutting-edge technologies, intelligent dialogue system has always attracted the attention of researchers in academia and industry. Among them, the dialogue intent recognition, which is the core of the intelligent dialogue system, is an indispensable module for realizing the intelligent dialogue system, so it is also the research direction of many researchers. [0003] At present, the methods of intent recognition are mainly divided into matching methods based on traditional language rule templates and methods based on machine learn...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the defect that the existing dialogue system has low accuracy in judging different semantics of similar sentences, the present invention provides a dialogue intention recognition method and system based on a multi-dimensional semantic interaction representation model. This system can fully understand the user's current dialogue The expressed meaning and intention, combined with the knowledge base information, fully compares whether the current dialogue hits the content of the knowledge base, forms a confidence level according to the multi-dimensional semantic interaction representation model, and then selects the intention suitable for the current context

It solves the problems that the traditional pre-trained language model does not focus on the semantic information level, resulting in insufficient discrimination and neglect of sensitive information.

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