Dispute focus discovery method and device based on dispute focus entity, and terminal

Abstract

The invention relates to the field of natural language technology processing, in particular to a dispute focus discovery method and device based on dispute focus entities and a terminal, and the method comprises the steps of obtaining document data, and carrying out the preprocessing of the document data to obtain an entity set; deleting redundant entities from the entity set to obtain a candidateentity set; splicing each candidate entity in the candidate entity set with the title and the document content to serve as an input feature; inputting the input features into a BERT model for training, and outputting a dispute focus entity after the training is completed; and performing dispute focus judgment according to the dispute focus entity. According to the invention, the candidate entity+ '-' + title + '-' + document content is used as an input feature, so that the attention of the candidate entity is higher; the binary classification task simplifies task steps of conventional entityidentification, each entity and a document can form a sample, the number of training samples is increased, meanwhile, the precision of dispute focus entities is greatly improved, 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 dispute focus entities. Background technique [0002] With the advancement of the Internet and the development of judicial procedures, judicial information has exploded. How to quickly and accurately mine key information from massive judicial texts has become one of the key issues in the judicial field. In the judicial document data, the dispute focus entities specific to the judicial field are different from those in the general field, and the extraction effect of general entity recognition technology is not ideal. [0003] Currently widely used in Internet products is the Chinese named entity recognition technology (Named Entity Recognition, referred to as NER), which is mainly to identify entities with specific meanings in documents, such as names of people, places, institutions, and p...

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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