A dispute focus discovery method, device and terminal based on the dispute focus entity

Abstract

The present invention relates to the field of natural language technology processing, in particular to a dispute focus discovery method, device and terminal based on a dispute focus entity, including: obtaining document data, preprocessing the document data to obtain an entity set; deleting redundancy from the entity set Entity, to obtain the candidate entity set; each candidate entity in the candidate entity set is spliced ​​with the title and document content as input features; the input features are input into the BERT model for training, and after the training is completed, the disputed entity is output; according to the disputed entity Judgment of the focus of controversy. The present invention uses "candidate entity + '-' + title + '-' + document content" as the input feature, so that the attention of the candidate entity is higher; the two-category task simplifies the task steps of conventional entity recognition, and each entity and document All can form a sample, which increases the amount of training samples, and also greatly improves the accuracy of the disputed focus entity, and the effect is better.

Description

technical field [0001] The present invention relates to the field of natural language technology processing, in particular to a dispute focus discovery method, device and terminal based on a dispute focus entity. Background technique [0002] With the advancement of the Internet and the development of judicial procedures, judicial information has exploded. How to quickly and accurately dig out key information from massive judicial texts has become one of the key issues in the judicial field. In the judicial document data, the disputed focus entities unique to the judicial domain are different from those of the general domain, and the extraction effect of the general entity recognition technology is not ideal. [0003] At present, Chinese Named Entity Recognition (NER) is widely used in Internet products, mainly to identify entities with specific meanings in documents, such as person names, place names, institution names, proper nouns, etc. The term named entity recognition...

AI Technical Summary

Problems solved by technology

[0011] However, simply dividing the identification of the focus of disputes into two tasks of judicial information classification and identification of the focus of disputes will cause error transfer problems.

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