Dialogue behavior identification method and system based on conditional random field and structured attention network

Abstract

The invention discloses a dialogue behavior identification method and system based on a conditional random field and a structured attention network. The identification method comprises the following steps of (1) in combination with a memory network, performing hierarchical reasoning and semantic modeling on dialogue semantic information according to a word layer, a sentence layer and a dialogue layer; (2) by applying the structured attention network, performing structural section division on dialogue contents according to the correlation between the dialogue contents; and (3) applying the obtained structured information to a linear conditional random field algorithm, and predicting a current dialogue behavior according to a context. Through the method and the system, context information ina dialogue interaction process can be deeply captured, and the sections of the dialogue contents can be dynamically divided; and by combining the structured attention network with the conditional random field algorithm, the dialogue behavior identification accuracy can be further improved.

Description

technical field [0001] The invention relates to the field of natural language processing dialogue systems, in particular to a dialogue behavior recognition method and system based on a conditional random field structured attention network. Background technique [0002] In recent years, with the gradual maturity of human-computer interaction technology, a large number of products equipped with human-computer interaction systems have entered thousands of households. For example, smart phone assistants Siri, Cortana, smart audio Xiaoai classmates, Tmall Genie, etc. The emergence of such products makes people deeply feel the convenience and enjoyment brought by technology to human beings. At the same time, the human-computer interaction dialogue system has also received extensive attention from researchers in industry and academia. The main research field of the present invention is one of the indispensable technologies in the dialogue system - dialogue behavior recognition. T...

AI Technical Summary

Problems solved by technology

[0005] The invention provides a dialogue behavior recognition method based on conditional random field structured attention network, which solves the problem of low accuracy of behavior recognition caused by topic shift in the process of talking content, and improves dialogue behavior recognition under the influence of context. Robustness when correlating influences

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