Training method and system of named entity recognition model and electronic device

A technology for named entity recognition and training methods, which is applied in database models, electronic digital data processing, special data processing applications, etc. It can solve problems such as accurate labeling, multi-manpower and material resources, and inability to realize corpus, achieving less manual intervention and simple operation. , the effect of improving processing speed and accuracy

Pending Publication Date: 2019-01-11
XIAMEN KUAISHANGTONG INFORMATION TECH CO LTD
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  • Summary
  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0004] However, in the existing technology, named entity labeling basically relies on manual processing, and entity labeling needs to be based on a large amount of corpus data analysis, which often consumes a lot of manpower and material resources; more

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  • Training method and system of named entity recognition model and electronic device
  • Training method and system of named entity recognition model and electronic device
  • Training method and system of named entity recognition model and electronic device

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[0029] In order to make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the various embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. However, a person of ordinary skill in the art can understand that in each embodiment of the present invention, many technical details are proposed for the reader to better understand the present application. However, even without these technical details and various changes and modifications based on the following embodiments, the technical solution claimed in this application can be realized.

[0030] Please refer to figure 1 , figure 1 It shows a flowchart of a named entity recognition model training method provided by a preferred embodiment of the present invention.

[0031] In this embodiment, the named entity recognition model can be implemented based on the LSTM algorithm and the CRF algorithm.

[0032] Such as figure 1 As...

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Abstract

The invention relates to a natural language processing technology, and provides a training method of a named entity recognition model. The method comprises the following steps: obtaining unlabeled corpus data from a corpus; pre-tagging the corpus data based on a category thesaurus; modifying the pre-labeling result to obtain a training text; training the named entity recognition model based on thetraining text, and repeating the above steps until the accuracy of the named entity recognition model reaches a preset threshold. Based on the training method provided by the embodiment of the invention, the recognition result of the named entity recognition model is more accurate and meets the actual requirement. In addition, the invention also provides a training system of a named entity recognition model.

Description

technical field [0001] The invention relates to natural language processing technology, in particular to a training method, system and electronic equipment for a named entity recognition model. Background technique [0002] Named entities refer to names of people, institutions, places, and all other entities identified by names. In natural language processing technology, word segmentation annotations also include named entity annotations. [0003] Specifically, in the process of natural language processing, supervised learning is often required to obtain the desired results, such as information extraction. In information extraction, named entity recognition is first required. In different fields, the entities to be extracted are often very different. Even in the same field, if the purpose or intention is different, the entity recognition templates will also be different. [0004] However, in the existing technology, named entity labeling basically relies on manual processi...

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Application Information

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IPC IPC(8): G06F17/27G06F16/28G06F16/35
CPCG06F40/247Y02D10/00
Inventor 邹辉肖龙源蔡振华李稀敏刘晓葳谭玉坤
Owner XIAMEN KUAISHANGTONG INFORMATION TECH CO LTD
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