基于深度神经网络的诉辩文本争议焦点识别

doi:10.13229/j.cnki.jdxbgxb20210961

Abstract

Abstract:

The dispute focus is the focus of dispute between the plaintiff and the defendant， which is the main line and hub of leading the trial and settlement of disputes. Accurate and rapid induction of the focus of disputes is conducive to improve the quality and efficiency of the trial， and achieve the effect of supporting the construction of 'intelligent justice'. An innovative end-to-end model was proposed to solve this problem. Based on deep neural network， this model deeply understood the semantic information of the text between both parties. By combining word level and sentence level information， this study carried out sentence level contradiction detection， classification， and complete paragraph level contradiction classification. Through certain rules， this method combined the results of the two parts， finally identified all the dispute focuses in the pleading text. Experiments on real datasets show that the proposed model can identify the focus of dispute between the plaintiff and the defendant accurately and quickly. The recognition accuracy is improved effectively compared with the existing methods.An effective new path is proposed for the intelligent identification of the dispute focus of the defense text.

Key words: computer application technology, legal artificial intelligence, dispute focus, judgement documents, natural language processing, text matching

CLC Number:

TP391.1

Tian BAI,Ming-wei XU,Si-ming LIU,Ji-an ZHANG,Zhe WANG. Dispute focus identification of pleading text based on deep neural network[J].Journal of Jilin University(Engineering and Technology Edition), 2022, 52(8): 1872-1880.

Figures/Tables 7

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数据集	裁判文书数量	成对表述数量	争议焦点数量
交通事故	1 600	78 565	8 202
股权转让	1 579	97 814	10 681
民间借贷	1 218	69 216	7 399
追索报酬	1 200	61 859	4 327
治安管理	1 600	87 256	8 696
诈骗罪	1 594	70 474	4 209
故意伤害	1 194	52 181	2 263
Argmine	684	16 320	3 264

模型	准确率	损失率
CNN	0.8405	0.4291
BiLSTM	0.8053	0.4359
BiGRU	0.8110	0.4302
BLA	0.8282	0.4069
BGA	0.8390	0.4284
CBLA	0.8282	0.4317
CBGA	0.8344	0.4829
BERT-CNN	0.8497	0.3712
BERT-BLA	0.8343	0.3241
BERT-BGA	0.8420	0.3252
BERT-CBLA	0.8528	0.3711
BERT-CBGA	0.8620	0.3107

数据集	HAN	CNN	本文模型结构-CNN	本文模型
交通事故	0.8240	0.8580	0.8604	0.8698
股权转让	0.7755	0.7845	0.8035	0.8344
民间借贷	0.8687	0.8714	0.8851	0.8971
追索报酬	0.8777	0.8896	0.8964	0.9075
治安管理	0.8208	0.8354	0.8417	0.8521
诈骗罪	0.9154	0.9188	0.9195	0.9246
故意伤害	0.9329	0.9387	0.9410	0.9456

数据集	HAN	CNN	本文模型结构-CNN	本文模型
交通事故	0.3790	0.3239	0.3232	0.3210
股权转让	0.4330	0.4108	0.3557	0.3074
民间借贷	0.3202	0.3177	0.2739	0.2316
追索报酬	0.2837	0.2428	0.2217	0.1998
治安管理	0.3785	0.3490	0.3225	0.3029
诈骗罪	0.2133	0.2135	0.1873	0.1656
故意伤害	0.1801	0.1851	0.1649	0.1258

Dispute focus identification of pleading text based on deep neural network

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