Cicero: An AI-Based Writing Assistant for Legal Users

被引：2
作者：
De Luzi, Francesca [1 ]
Macri, Mattia [1 ]
Mecella, Massimo [1 ]
Mencattini, Tommaso [1 ]
机构：
[1] Sapienza Univ Roma, Rome, Italy
来源：
INTELLIGENT INFORMATION SYSTEMS, CAISE FORUM 2023 | 2023年 / 477卷
关键词：
e-justice; legal text generation; language models;
D O I：
10.1007/978-3-031-34674-3_13
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents the problem statement and the research approach on an Italian project in the field of e-justice. We present the motivation and methodology for the application of an automatic writing assistant pipeline to Italian civil cases. The proposed solution is based on fine-tuning a transformer on a pre-processed corpus of Italian civil judgments. The resulting language model may be deployed as a writing assistant for legal users, in order to improve the efficiency of text writing, or further fine-tuned to be deployed in other law-related NLP tasks.
引用
收藏
页码：103 / 111
页数：9
相关论文
共 20 条
[1]  
Anandarajan M, 2019, PRACTICAL TEXT ANALY, P45, DOI [DOI 10.1007/978-3-319-95663-3_4, DOI 10.1007/978-3-319-95663-34]
[2]  
Bao HB, 2020, PR MACH LEARN RES, V119
[3]  
Chalkidis I, 2020, Arxiv, DOI [arXiv:2010.02559, 10.48550/arXiv.2010.02559]
[4]  
Council of Europe, 2018, CEPEJ Stud., V26, P1
[5]   The automated writing assistance landscape in 2021 [J].
Dale, Robert ;
Viethen, Jette .
NATURAL LANGUAGE ENGINEERING, 2021, 27 (04) :511-518
[6]  
De Mattei L., 2020, 7 IT C COMP LING CLI
[7]  
de Vries W., 2020, ARXIV
[8]   A Machine Learning Based Methodology for Automatic Annotation and Anonymisation of Privacy-Related Items in Textual Documents for Justice Domain [J].
Di Martino, Beniamino ;
Marulli, Fiammetta ;
Lupi, Pietro ;
Cataldi, Alessandra .
COMPLEX, INTELLIGENT AND SOFTWARE INTENSIVE SYSTEMS, 2021, 1194 :530-539
[9]  
Johannesson P., 2014, An Introduction to Design Science, DOI [DOI 10.1007/978-3-319-10632-8, 10.1007/978-3-319-10632-8]
[10]  
Kalyan K.S., 2021, arXiv
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