Legal keyword extraction and decision categorization: a case study on italian civil case law

被引：0
|
作者：
Agnoloni, T. [1 ]
Bacci, L. [1 ]
Sagri, M. T. [1 ]
机构：
[1] Inst Legal Informat Theory & Tech, I-50127 Florence, Italy
来源：
LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION | 2014年
关键词：
legal terminology extraction; case law categorization; legal features support;
D O I：
暂无
中图分类号：
H0 [语言学];
学科分类号：
030303 ; 0501 ; 050102 ;
摘要：
In this paper we present an approach to keyword extraction and automatic categorization of italian case law of first instance on civil matters. The approach complements classic NLP based analysis of texts with legal and domain features extraction. The study originated from an experimental activity promoted by the Ministry of Justice for automated semantic metadata attribution in case law deposit in the framework of the digitalization of civil trial in Italy.
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页数：6
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