An Automatic Identification Method of Controversial Focus Based on Hierarchical Attention Neural Network Model

Abstract

The invention discloses a method for automatically identifying the focus of disputes based on a hierarchical attention neural network model. First of all, extract the court's summary of the dispute focus sentence from the documents containing the court's summary of the dispute focus, and use the hierarchical clustering method to construct the dispute focus system. Then use the dispute focus system to label each document with multiple different categories, construct a data set, and transform the problem of identifying focus of dispute into a multi-label and multi-category problem. Afterwards, the hierarchical attention neural network model is trained to focus more attention on important words, sentences, and paragraphs that contain more information to form a dispute focus recognizer. Finally, the text that needs to identify the focus of dispute is input into the focus of dispute recognizer to obtain the focus of dispute of the input text. The method of the invention has a high prediction accuracy rate, can accurately identify and judge the dispute focus of documents, and has good scalability.

Description

technical field [0001] The invention relates to an automatic identification method for dispute focus based on a layered attention neural network model. Background technique [0002] Legal service is a traditional industry, but it is also an industry with great potential. In order to improve the efficiency of legal services, reform the traditional form of legal services, use artificial intelligence technology to assist in identifying the focus of disputes in documents, so as to help people judge and understand the focus of disputes in cases faster and better. [0003] However, on the one hand, in order to automatically identify the focus of disputes in documents, it is necessary to establish a focus of dispute system for each field, but the construction of the focus of dispute system relies on domain experts, and the construction process is time-consuming and laborious, which is not conducive to large-scale expansion; on the other hand, in legal documents In , different word...

AI Technical Summary

Problems solved by technology

[0003] However, on the one hand, in order to automatically identify the focus of disputes in documents, it is necessary to establish a focus of dispute system for each field, but the construction of the focus of dispute system relies on domain experts, and the construction process is time-consuming and laborious, which is not conducive to large-scale expansion; on the other hand, in legal documents Among them, different words and sentences contain different levels of "information" and have different effects on judging the focus of disputes. When building an automatic identification model for the focus of disputes, it is necessary to pay attention to the role played by different words and sentences

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