Dialogue flow extraction method, device and storage medium based on intention analysis and dialog clustering

A technology of intent, process

Active Publication Date: 2018-12-21
XIAMEN KUAISHANGTONG INFORMATION TECH CO LTD
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Problems solved by technology

Either method is very time-consuming and labor-intensive. The former needs to manually read the dialogue data and summarize the dialogue process from it; while the latter does not require manual summarization, but the workload of manual annotation is very huge.

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  • Dialogue flow extraction method, device and storage medium based on intention analysis and dialog clustering

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[0021] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention clearer and clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0022] The embodiment of the present invention provides a dialog flow extraction method based on intent analysis and dialog clustering, as shown in the attached figure 1 As shown, including the following steps S1-S4:

[0023] Step S1, obtaining the original chat corpus, and performing topic analysis on the sentences in it through the LDA algorithm, and the analyzed topic is called intent;

[0024] Step S2, screening and confirming meaningful topics, said meaningful topics are called effective intentions;

[0025] Step S3, labeling the sentences with v...

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Abstract

The invention discloses a dialog flow extraction method, a device and a storage medium based on intention analysis and dialog clustering. The method comprises the following steps of: acquiring original chat corpus, and carrying out subject analysis on sentences in the corpus through LDA algorithm, wherein the analyzed subject is called intention; screening confirms the topic as meaningful, and labels the sentences with valid intention in the corpus; the intention tags in the dialogue are extracted to form a sequence, which is called dialog flow. Further, the KNN clustering algorithm is adoptedfor all dialog flows to obtain k clusters and k dialog flows. The invention greatly reduces manual participation process and improves efficiency.

Description

technical field [0001] The invention relates to the technical field of man-machine dialogue, in particular to a dialogue flow extraction method based on intent analysis and dialogue clustering. Background technique [0002] The human-computer dialogue system is a human-computer interaction system that regards the machine as a cognitive subject. With the rapid development of computer software and hardware technology and mobile Internet, cognitive human-computer dialogue systems that can effectively deal with inaccurate information interaction and conform to human's natural interaction habits have received more and more attention. [0003] In task-based dialogue system, dialogue management is a very important module. The main function of dialogue management is to control the whole dialogue process in the process of man-machine dialogue. At present, the construction of the dialogue process is roughly divided into two types: one is purely manual construction; the other is to ma...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06F17/27
CPCG06F40/30
Inventor 蔡振华肖龙源李稀敏刘晓葳谭玉坤
Owner XIAMEN KUAISHANGTONG INFORMATION TECH CO LTD
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