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Model training method, named entity recognition method, device, equipment and medium

A named entity recognition and model training technology, applied in the field of data processing, can solve problems such as difficulty in meeting user needs and low recognition accuracy, and achieve the effect of improving accuracy and high semantic relevance

Pending Publication Date: 2019-09-24
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The recognition accuracy of the above methods is low, and it is difficult to meet the needs of users

Method used

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  • Model training method, named entity recognition method, device, equipment and medium
  • Model training method, named entity recognition method, device, equipment and medium
  • Model training method, named entity recognition method, device, equipment and medium

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Embodiment Construction

[0044] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is a part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0045] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above drawings are used to distinguish similar objects, and not necessarily Used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such th...

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Abstract

The invention discloses a model training method, which comprises the following steps: obtaining a training sample set, training samples in the training sample set comprising training statements and category labels corresponding to entities in the training statements; inputting the training sample into a named entity recognition model, and obtaining a prediction category of an entity in the training statement output by the named entity recognition model based on context information of the entity in the training statement; and according to the prediction category and the category label of the entity in the training statement, adjusting parameters of the named entity recognition model until a training ending condition is met. The named entity model not only considers the entity candidate item, but also considers the information of the whole statement where the entity candidate item is located, and the information has high correlation with the entity candidate item category, so that help can be provided for entity classification, and the entity classification accuracy is improved. The invention further discloses a named entity recognition method, device and equipment and a medium.

Description

technical field [0001] The present application relates to the field of data processing, and in particular to a model training method, a named entity recognition method, a device, a device, and a storage medium. Background technique [0002] With the continuous development of Internet technology, a large amount of data is generated. These data can be applied to many scenarios through data mining, such as product recommendation, knowledge base construction and so on. One of the keys to data mining is named entity recognition (Named Entity Recognition) for data. [0003] Named entity recognition is a basic task in natural language processing. Specifically, it refers to identifying named referents from text, paving the way for tasks such as relationship extraction. At present, the industry provides a recognition method based on weak supervision technology. First, candidates are found through language rules such as noun phrase discovery, and then the similarity between the cand...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27G06F16/35
CPCG06F16/355G06F40/295
Inventor 张国校
Owner TENCENT TECH (SHENZHEN) CO LTD
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