Element extraction method and device, computer equipment and storage medium
A computer program and element technology, applied in the field of natural language processing, can solve problems such as inability to extract long sentences, achieve the effect of improving the accuracy of element extraction and solving the overlapping of elements
Pending Publication Date: 2021-12-10
SHANGHAI PUDONG DEVELOPMENT BANK
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[0004] Based on this, it is necessary to address the above technical problems and provide an element extraction method, device, computer equipment and storage medium that can solve the problem that only scattered elements can be extracted but not long sentences in the traditional technology
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[0041] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.
[0042] With the rapid development of the financial industry, the financial industry has formed a huge economic system, which is closely related to the development of the national economy. How to extract useful information from relevant texts related to the financial industry (such as bank loan approval opinions) is a very meaningful task. The application of named entity recognition to the financial field is the technical support for the related financial industry to build knowledge graphs, opinion mining, and public opinion analysis.
[0043] In traditional techniques, me...
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The invention relates to an element extraction method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining a to-be-recognized text corpus, inputting the to-be-recognized text corpus to an element extraction model, and carrying out named entity recognition of the to-be-recognized text corpus through a long text element extraction branch of the element extraction model, acquiring a long text extraction result for extraction of long sentences; and performing named entity recognition on the to-be-recognized text corpus through a short text element extraction branch of an element extraction model to obtain a short text extraction result, and performing constraint processing according to the long text extraction result and the short text extraction result to obtain structured data of the to-be-recognized text corpus. The combination of the long text extraction result and the short text extraction result is realized, the element extraction accuracy can be improved to 97% or above, and the problem of element overlapping can be solved.
Description
technical field [0001] The present application relates to the technical field of natural language processing, in particular to an element extraction method, device, computer equipment and storage medium. Background technique [0002] With the development of Natural Language Processing (NLP), information extraction has emerged. And named entity recognition technology (Named Entities Recognition, NER) is an essential part of information extraction, and its purpose is to identify named entities such as names of people, places, and organizations in the corpus. [0003] In traditional technology, the deep learning model LSTM (Long Short Term Memory) is used for information extraction. However, the information extraction method in the traditional method can only extract scattered elements intermittently, and cannot complete the extraction of long sentences. Contents of the invention [0004] Based on this, it is necessary to address the above technical problems and provide an ...
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IPC IPC(8): G06F40/295
CPCG06F40/295Y02D10/00
Inventor 杨洋李锋张琛万化
Owner SHANGHAI PUDONG DEVELOPMENT BANK