Chinese legal text entity recognition method based on boundary detection and cue learning

A boundary detection and entity recognition technology, applied in the field of data processing, can solve the problems of poor text adaptability and recognition accuracy, and achieve the effect of improving adaptability and accuracy, accurate prediction results, and good recognition

Active Publication Date: 2022-07-29
CENT SOUTH UNIV
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Problems solved by technology

[0005] In view of this, the present invention provides a Chinese legal text entity recognition method based on boundary detection and hint learning, which at least partially solves the problems of poor text adaptability and recognition accuracy in the prior art

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  • Chinese legal text entity recognition method based on boundary detection and cue learning
  • Chinese legal text entity recognition method based on boundary detection and cue learning
  • Chinese legal text entity recognition method based on boundary detection and cue learning

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Embodiment Construction

[0048] The present invention will be described in detail below with reference to the accompanying drawings.

[0049] The embodiments of the present invention are described below through specific specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. Obviously, the described embodiments are only some, but not all, embodiments of the present invention. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and features in the embodiments may be combined with each other under the condition of no conflict. Based on the embodiments of the present invention, all other embodiments obtained b...

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Abstract

The invention provides a Chinese legal text entity recognition method based on boundary detection and prompt learning, which belongs to the technical field of data processing, and specifically includes: a text encoding module outputs a text vector; inputting the text vector into an entity boundary detection module, outputting entities in the text Based on the constructed legal text corpus, further domain pre-training is carried out to obtain a pre-training model suitable for the legal field; in the entity type prediction module, based on the idea of ​​prompt learning, the entity boundary detection module is constructed based on the output results of the module. Templates suitable for named entity recognition tasks, and then use the templates and pre-trained models to perform prompt learning, and output the prediction results of entity types; jointly train the entity boundary detection module and the entity type prediction module to obtain the entity recognition task suitable for Chinese legal texts. 's model. Through the solution of the present invention, the adaptability and accuracy of the legal text named entity recognition are improved.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a Chinese legal text entity recognition method based on boundary detection and prompt learning. Background technique [0002] At present, with the continuous improvement of my country's laws and regulations and the continuous improvement of people's legal awareness, the number of various types of cases has increased sharply, which has brought great pressure to the current judicial field. Through named entity recognition of legal texts, key information in legal texts can be extracted accurately and efficiently, reducing the work pressure of judicial departments, and at the same time playing an important auxiliary role in case analysis and determination of crimes. Therefore, how to use named entity recognition technology to recognize named entities in legal texts has become a hot issue for many researchers. [0003] At present, the mainstream method for processing Chinese ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F40/295G06F16/33G06F16/35G06F40/30G06K9/62G06N3/04G06N3/08
CPCG06F40/295G06F40/30G06F16/3344G06F16/35G06N3/08G06N3/044G06F18/241
Inventor 李芳芳彭亦楠彭中礼黎娟
Owner CENT SOUTH UNIV
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