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Data labeling method, device and equipment and computer storage medium

A computer program and data technology, applied in the field of data labeling, can solve problems such as low time utilization rate, achieve the effect of improving time utilization rate and shortening the shared time

Pending Publication Date: 2020-03-27
BEIJING MININGLAMP SOFTWARE SYST CO LTD
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of this application is to provide a data labeling method, device, equipment, and computer storage medium, which can solve the problem of mining valuable sample data by using predictive models and sample value functions in the prior art and utilizing the labeled sample data. In the process of optimizing the prediction model, the problem of low time utilization caused by mutual exclusion in terms of time

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  • Data labeling method, device and equipment and computer storage medium
  • Data labeling method, device and equipment and computer storage medium
  • Data labeling method, device and equipment and computer storage medium

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other Embodiment approach

[0111] In other implementations, the sample data to be labeled may only include data corresponding to one type of business, that is, there may be only one data set, and the labeling request initiated by the user may only be used to indicate the start of the servo model, and the sample data to be labeled The execution action of extracting the target sample data, that is, may also be to start executing the aforementioned step S101 only in response to the labeling request initiated by the user.

[0112] The embodiment of the present application also provides a real-time labeling system based on an active servo model, Figure 5 A schematic structural diagram of a real-time annotation system based on an active servo model provided by an embodiment of the present application is shown. The data labeling method described in the foregoing embodiments of the present application will be described below through the real-time labeling system based on the active servo model:

[0113] Such ...

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Abstract

The invention provides a data annotation method, device and equipment and a computer storage medium, and relates to the technical field of data annotation. The data labeling method includes: adoptinga servo model to extract target sample data from the to-be-labeled sample data, displaying target sample data, collecting sample data after the user marks the target sample data; according to the marked sample data, optimizing the servo model by adopting the preset incremental learning rule. The problem that the model optimization process and the process of predicting the to-be-labeled sample datato extract the target sample data are mutually exclusive in the aspect of time is avoided, the time occupied by the data labeling process and the model optimization process together is greatly shortened, and the time utilization rate is increased.

Description

technical field [0001] The present application relates to the technical field of data labeling, and in particular, to a data labeling method, device, equipment, and computer storage medium. Background technique [0002] Deep learning technology is widely used in face recognition, video behavior analysis, intelligent customer service, text generation, machine translation, information extraction and other fields related to image processing and natural language processing, which has brought great benefits to people's production and life. convenience. Deep learning mainly relies on the learning and modeling of a large amount of effectively labeled data through the learning network. For example, the news classification task relies on a large amount of labeled news data, and the risk subject identification task relies on a large amount of entity-labeled data, etc. . [0003] At present, when building a deep learning model, the way to obtain labeled data is usually: large compani...

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Application Information

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IPC IPC(8): G06F16/907
CPCG06F16/907
Inventor 张金贺徐安华
Owner BEIJING MININGLAMP SOFTWARE SYST CO LTD