Intention recognition model training method and device and intention recognition method and device

Abstract

The invention provides an intention recognition model training method and device and an intention recognition method and device. The training method comprises the steps of obtaining a question pair, aquestion answer pair and an intention category in a dialogue corpus; constructing a question similarity annotation data set according to the question pairs, constructing a question answer similarityannotation data set according to the question answer pairs, and constructing an intention recognition data set according to each round of sentences in the dialogue corpus and category labels corresponding to each round of sentences; constructing a similarity task loss function of sentences according to the question similarity annotation data set and the question answer similarity annotation data set, and constructing an intention recognition task loss function according to the intention recognition data set; and according to the question similarity annotation data set, the question answer similarity annotation data set and the intention recognition data set, carrying out optimization training on the similarity task loss function and the intention recognition task loss function of the sentence to obtain an intention recognition model.

Description

technical field [0001] The present disclosure relates to the field of computer technology, and more particularly, to a training method and a training device of an intent recognition model, an intent recognition method and an intent recognition device, as well as a computer system and a computer-readable storage medium. Background technique [0002] With the rapid development of computer and Internet technologies, more and more intelligent interaction methods have gradually penetrated into daily life. [0003] One embodiment of intelligent interaction is that intelligent products or applications can understand user needs and provide users with appropriate responses according to the needs. For example, in a question answering system in a customer service scenario, the user's intention can be identified according to the sentence input by the user, and an appropriate response can be provided to the user. [0004] However, in the process of realizing the concept of the present d...

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Problems solved by technology

[0004] However, in the process of realizing the concept of the present disclosure, the inventors found that there are at least the following problems in related technologies. The model is obtained through training with a single task data, which leads to a lack of generalization ability in the representation of model learning, so that the intention recognition performance of the model is weak

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