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Conversation label tracking method and device, electronic device and storage medium

A tag and preset tag technology, applied in the computer field, can solve the problems of poor dialogue tag tracking effect and weak generalization ability of dialogue tag tracking, and achieve the effect of improving the generalization ability.

Pending Publication Date: 2021-02-19
HANGZHOU DASOUCHE AUTO SERVICE CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present application provide a dialog tag tracking method, device, electronic device, and storage medium to at least solve the problems of weak dialog tag tracking generalization ability and poor dialog tag tracking effect in cold start scenarios in the related art

Method used

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  • Conversation label tracking method and device, electronic device and storage medium
  • Conversation label tracking method and device, electronic device and storage medium
  • Conversation label tracking method and device, electronic device and storage medium

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Embodiment Construction

[0031] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be described and illustrated 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 application, and are not intended to limit the present application. Based on the embodiments provided in the present application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0032] Obviously, the accompanying drawings in the following description are only some examples or embodiments of the present application, and those skilled in the art can also apply the present application to other similar scenarios. In addition, it can also be understood that although such development efforts may be complex and lengthy, for those of ...

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Abstract

The invention relates to a dialogue label tracking method and device, an electronic device and a storage medium, and the method comprises the steps: obtaining first dialogue data of a current round ofdialogue in a dialogue process, the first dialogue data comprising an expression statement corresponding to a user participating in the current round of dialogue; tracking a first label in the firstdialogue data, and generating a first label vector according to the first label, the first label at least comprising intention information and entity information of the current round of dialogue; andprocessing the first label vector by using a gradient boosting model to obtain a first prediction value corresponding to the current round of dialogue, and determining a dialogue label of the currentround of dialogue according to the first prediction value, the gradient boosting model being an optimal gradient boosting model constructed by training a second label vector according to a gradient boosting algorithm. The problems of weak conversation label tracking generalization ability and poor conversation label tracking effect in a cold start scene in related technologies are solved, and theconversation label tracking generalization ability is improved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a dialog tag tracking method, device, electronic device and storage medium. Background technique [0002] In recent years, artificial intelligence technology has developed rapidly, and products related to intelligent voice technology have entered thousands of households. People are gradually getting used to talking to machines, and have higher expectations for the machine's ability to understand and respond. The speech-based dialogue system framework adopts the Automatic Speech Recognition (ASR, Automatic Speech Recognition) model and the Natural Language Understanding (NLU, Natural Language Understanding) model. The workflow includes: first convert the user's voice into text through the ASR model, and then use the NLU The model performs semantic analysis, recognizes text intent, and finally realizes dialogue text analysis interaction. [0003] Dialogue label tracki...

Claims

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Application Information

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IPC IPC(8): G06F40/35
CPCG06F40/35
Inventor 吴欣辉
Owner HANGZHOU DASOUCHE AUTO SERVICE CO LTD
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