Statement recognition method and device

Abstract

The invention discloses a statement recognition method and device, and relates to the technical field of human-computer interaction. According to the specific implementation scheme, the method comprises the steps of obtaining a to-be-recognized statement and corresponding feature information, wherein the feature information comprises a word segmentation result, a part-of-speech recognition resultand an entity recognition result of the statement; obtaining a trained dialogue understanding model, wherein the dialogue understanding model comprises a backbone neural network, a slot branch connected with the backbone neural network, a pooling layer connected with the backbone neural network, and an intention branch and an intention slot relationship branch which are respectively connected withthe pooling layer; inputting the feature information into a trained dialogue understanding model; obtaining the intention and the slot position of the statement, so that the intention slot positionrelationship branch is added into the dialogue understanding model, the relationship between the intention and the slot position can be considered when the dialogue understanding model is trained or the statement is recognized, the matching degree between the output intention and the slot position is improved, and the statement recognition efficiency of the dialogue understanding model is improved.

Description

technical field [0001] The present application relates to the technical field of data processing, specifically to the technical field of human-computer interaction, and in particular to a language recognition method and device. Background technique [0002] The current dialogue understanding model includes the intention branch and the slot branch; the intention branch and the slot branch share some model coefficients. When the dialogue understanding model is trained, it is trained based on two objective functions of intent classification and slot labeling at the same time. However, this training method leads to a mismatch between the output intent and the slot when the dialogue understanding model recognizes sentences. problem, which reduces the sentence recognition efficiency of the dialogue understanding model. Contents of the invention [0003] This application proposes a sentence recognition method and device. By adding an intention slot relationship branch to the dia...

AI Technical Summary

Problems solved by technology

When the dialogue understanding model is trained, it is trained based on two objective functions of intent classification and slot labeling at the same time. However, this training method leads to a mismatch between the output intent and the slot when the dialogue understanding model recognizes sentences. problem, which reduces the sentence recognition efficiency of the dialogue understanding model

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