Model training method, model training device and entity extraction method

A technology for model training and entity extraction, applied in the field of data processing, can solve the problems of high equipment cost and time cost of pre-training models, low model prediction and inference efficiency, etc., to reduce the accuracy rate, avoid excessive scale, and reduce model scale. Effect

Pending Publication Date: 2020-12-11
杭州中奥科技有限公司
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Problems solved by technology

[0003] However, the inventors found that in the existing technology, in the actual industrial deployment scenario, due to the large scale of the model, the reasoning of the pre-trained model requires high equipment costs and time costs, so there are model prediction and reasoning problems. The problem of inefficiency

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  • Model training method, model training device and entity extraction method
  • Model training method, model training device and entity extraction method
  • Model training method, model training device and entity extraction method

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Embodiment Construction

[0046] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described in detail below in conjunction with the accompanying drawings in the embodiments of the present application. It should be understood that the accompanying drawings in the present application are only It serves the purpose of illustration and description, and is not used to limit the protection scope of the present application. Additionally, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in this application illustrate operations implemented in accordance with some embodiments of the application. It should be understood that the operations of the flowcharts may be performed out of order, and steps that have no logical context may be performed in reverse order or concurrently. In addition, those skilled in the art may a...

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Abstract

The embodiment of the invention provides a model training method, a model training device and an entity extraction method, and relates to the technical field of data processing. The model training method is applied to electronic equipment, and comprises the steps of firstly, obtaining training data and training a preset model according to the training data to obtain a first training model; secondly, obtaining a second training model according to part of parameters of the first training model; and then, training the second training model according to a loss function between the first training model and the second training model to obtain an entity extraction model. Through the setting, the small-scale second training model realizes the function of the first training model, so that the modelscale is reduced on the premise of not reducing the accuracy, and the model prediction and reasoning efficiency is improved.

Description

technical field [0001] The present application relates to the technical field of data processing, in particular, to a model training method, a model training device and an entity extraction method. Background technique [0002] In recent years, the development of deep learning technology has made artificial intelligence attract worldwide attention. Natural language processing technology is one of the important research directions in the field of artificial intelligence. It has made great achievements in various fields of research in recent years. made a major breakthrough. The development of pre-training models has greatly promoted the development of natural language processing, and has achieved good results in many natural language processing tasks including entity extraction. [0003] However, the inventors found that in the existing technology, in the actual industrial deployment scenario, due to the large scale of the model, the reasoning of the pre-trained model requir...

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Application Information

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IPC IPC(8): G06F40/295G06F40/211G06F40/284G06F16/35G06K9/62G06N3/04G06N3/08
CPCG06F40/295G06F40/211G06F40/284G06F16/35G06N3/08G06N3/047G06F18/2431
Inventor 陆韵郑申俊陈玉琴郑辉杨飞钧李永强陈宇翁漂洋
Owner 杭州中奥科技有限公司
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