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Method and device for constructing news entity identification model and computer device

An entity recognition and named entity recognition technology, applied in the field of machine learning, can solve the problem of unsatisfactory company name recognition effect, and achieve the effect of improving the accuracy and improving the recognition effect.

Pending Publication Date: 2019-03-08
PING AN TECH (SHENZHEN) CO LTD
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Problems solved by technology

[0003] Based on this, it is necessary to provide a method for constructing a news entity recognition model, a device, a computer device, and a storage medium for the technical problem that traditional news entity recognition is not ideal for recognizing company names in news text corpus

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  • Method and device for constructing news entity identification model and computer device
  • Method and device for constructing news entity identification model and computer device
  • Method and device for constructing news entity identification model and computer device

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[0057] In order to make the purpose, technical solutions, and advantages of this application clearer, the following further describes the application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the application, and not used to limit the application.

[0058] figure 1 It is a schematic diagram of the internal structure of a computer device in an embodiment. The computer equipment can be a server, such as figure 1 As shown, the computer device includes a processor, a memory, a network interface, and a database connected through a system bus. Among them, the processor of the computer device is used to provide calculation and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provi...

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Abstract

The present application relates to a method and device for constructing a news entity identification model based on migration learning, a computer device and a storage medium. The method comprises thefollowing steps of constructing a named entity recognition model; extracting the neural network parameters of the second neural network model in the pre-trained part-of-speech tagging model, and initializing the first neural network model of the named entity recognition model according to the neural network parameters; acquiring a news corpus training sample, wherein the first Chinese character in the news corpus training sample is labeled with a corresponding label; converting the first Chinese character into a first character vector, and inputting the first character vector into a first neural network model to obtain a first feature vector of the Chinese character; by using the first eigenvector corresponding to the first Chinese character and the corresponding label, carrying out the supervised training on the target conditional random field model, and obtaining the news entity recognition model. The method can improve the recognition effect of the news entity recognition model.

Description

Technical field [0001] This application relates to the field of machine learning technology, in particular to a method, device, computer equipment and storage medium for constructing a news entity recognition model. Background technique [0002] At present, the neural network model combined with the traditional machine learning model—Conditional Random Field algorithm (CRF) model is the current mainstream model for named entity recognition. The neural network model in the mainstream model can realize automatic feature extraction without manual feature engineering, but the determination of complex model parameters often requires training through a large amount of labeled data. However, in the news text corpus, the company name is marked or annotated with relatively few corpus data, which is not enough to train a complex model. As a result, the traditional news entity recognition is not ideal for the company name recognition in the news text corpus. . Summary of the invention [0...

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Application Information

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IPC IPC(8): G06F17/27G06N3/08
CPCG06N3/08G06F40/295
Inventor 黄萍汪伟肖京
Owner PING AN TECH (SHENZHEN) CO LTD
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