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基于审判逻辑步骤的裁判文书摘要生成方法

余帅 宋玉梅 秦永彬 黄瑞章 陈艳平

计算机工程与应用2024,Vol.60Issue(4):113-121,9.
计算机工程与应用2024,Vol.60Issue(4):113-121,9.DOI:10.3778/j.issn.1002-8331.2209-0142

基于审判逻辑步骤的裁判文书摘要生成方法

Method for Generating Summary of Judgment Documents Based on Trial Logic Steps

余帅 1宋玉梅 1秦永彬 1黄瑞章 1陈艳平1

作者信息

  • 1. 贵州大学 公共大数据国家重点实验室,贵阳 550025||贵州大学 计算机科学与技术学院,贵阳 550025
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摘要

Abstract

Judicial summary oriented to judgment documents is the key technology to improve the analytical ability of judg-ment documents.As the carrier of the trial activities,the judgment documents accurately present the trial logic of the case.However,the current abstract methods only focus on the serialization information of the judgment documents,ignore the logical structure,and can not effectively solve the problems of too long texts and redundant information.A judgment docu-ment summary generation method based on the trial logic steps is proposed.The method of"extraction + generation"is adopted.The extraction part uses the multi-label classification method to extract four sentence sets of"type,claim,fact and result"according to the logic steps of the people's court.The generation part gets the summary from the fine-tuned T5-PEG-ASUS model.And the input text of the"fact"part is denoised by using the maximum similarity matching algorithm based on internal knowledge,which further improves the summary effect.The experimental results show that,compared with the mainstream pointer-generated network summary model,the proposed method improves the F1 index of ROUGE-1,ROUGE-2 and ROUGE-L by 17.99 percentage points,21.24 percentage points and 21.86 percentage points,respectively.This shows that introducing logical structure into the judicial summarization can improve the performance of the task.

关键词

裁判文书/审判逻辑步骤/多标签分类/内部知识/生成式摘要

Key words

judgment document/trial logic steps/multi-label classification/internal knowledge/abstractive summary

分类

信息技术与安全科学

引用本文复制引用

余帅,宋玉梅,秦永彬,黄瑞章,陈艳平..基于审判逻辑步骤的裁判文书摘要生成方法[J].计算机工程与应用,2024,60(4):113-121,9.

基金项目

国家自然科学基金(62066008) (62066008)

贵州省科学技术基金重点资助项目(黔科合基础[2020]1Z055) (黔科合基础[2020]1Z055)

贵州省教育厅高等学校科学研究项目(青年项目)(黔教技[2022]149号). (青年项目)

计算机工程与应用

OA北大核心CSTPCD

1002-8331

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