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Automated legal reasoning with discretion to act using s(LAW) 使用 s(LAW)进行自动法律推理并酌情采取行动
IF 4.1 2区 社会学 Q1 Social Sciences Pub Date : 2023-11-20 DOI: 10.1007/s10506-023-09376-5
Joaquín Arias, Mar Moreno-Rebato, José-A. Rodríguez-García, Sascha Ossowski
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引用次数: 0
Natural language processing for legal document review: categorising deontic modalities in contracts 法律文件审查的自然语言处理:合同中道义模式的分类
2区 社会学 Q1 Social Sciences Pub Date : 2023-11-11 DOI: 10.1007/s10506-023-09379-2
S. Georgette Graham, Hamidreza Soltani, Olufemi Isiaq
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引用次数: 0
A large scale benchmark for session-based recommendations on the legal domain 基于会议的法律领域建议的大规模基准
2区 社会学 Q1 Social Sciences Pub Date : 2023-10-25 DOI: 10.1007/s10506-023-09378-3
Marcos Aurélio Domingues, Edleno Silva de Moura, Leandro Balby Marinho, Altigran da Silva
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引用次数: 0
Integrating legal event and context information for Chinese similar case analysis 整合法律事件与语境信息进行中国同类案例分析
2区 社会学 Q1 Social Sciences Pub Date : 2023-10-25 DOI: 10.1007/s10506-023-09377-4
Jingpei Dan, Lanlin Xu, Yuming Wang
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引用次数: 0
A novel network-based paragraph filtering technique for legal document similarity analysis 一种新的基于网络的法律文件相似度分析段落过滤技术
2区 社会学 Q1 Social Sciences Pub Date : 2023-10-19 DOI: 10.1007/s10506-023-09375-6
Mayur Makawana, Rupa G. Mehta
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引用次数: 0
Multi-language transfer learning for low-resource legal case summarization 低资源法律案例总结的多语言迁移学习
2区 社会学 Q1 Social Sciences Pub Date : 2023-09-25 DOI: 10.1007/s10506-023-09373-8
Gianluca Moro, Nicola Piscaglia, Luca Ragazzi, Paolo Italiani
Abstract Analyzing and evaluating legal case reports are labor-intensive tasks for judges and lawyers, who usually base their decisions on report abstracts, legal principles, and commonsense reasoning. Thus, summarizing legal documents is time-consuming and requires excellent human expertise. Moreover, public legal corpora of specific languages are almost unavailable. This paper proposes a transfer learning approach with extractive and abstractive techniques to cope with the lack of labeled legal summarization datasets, namely a low-resource scenario. In particular, we conducted extensive multi- and cross-language experiments. The proposed work outperforms the state-of-the-art results of extractive summarization on the Australian Legal Case Reports dataset and sets a new baseline for abstractive summarization. Finally, syntactic and semantic metrics assessments have been carried out to evaluate the accuracy and the factual consistency of the machine-generated legal summaries.
分析和评价法律案件报告是法官和律师的一项劳动密集型任务,他们通常根据报告摘要、法律原则和常识性推理来做出决定。因此,总结法律文件是非常耗时的,并且需要出色的专业知识。此外,特定语言的公共法律语料库几乎没有。本文提出了一种采用抽取和抽象技术的迁移学习方法,以应对缺乏标记的法律摘要数据集,即低资源场景。特别是,我们进行了广泛的多语言和跨语言实验。拟议的工作优于澳大利亚法律案件报告数据集上提取摘要的最先进结果,并为抽象摘要设置了新的基线。最后,进行了句法和语义度量评估,以评估机器生成的法律摘要的准确性和事实一致性。
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引用次数: 1
Ant: a process aware annotation software for regulatory compliance Ant:用于法规遵从性的流程感知注释软件
IF 4.1 2区 社会学 Q1 Social Sciences Pub Date : 2023-08-09 DOI: 10.1007/s10506-023-09372-9
Raphaël Gyory, David Restrepo Amariles, Grégory Lewkowicz, H. Bersini
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引用次数: 0
Lessons learned building a legal inference dataset 构建法律推理数据集的经验教训
IF 4.1 2区 社会学 Q1 Social Sciences Pub Date : 2023-07-31 DOI: 10.1007/s10506-023-09370-x
Sungmi Park, Joshua I. James
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引用次数: 0
A topic discovery approach for unsupervised organization of legal document collections 一种无监督组织法律文件集合的主题发现方法
IF 4.1 2区 社会学 Q1 Social Sciences Pub Date : 2023-07-19 DOI: 10.1007/s10506-023-09371-w
Daniela Vianna, Edleno Silva De Moura, Altigran Soares da Silva
{"title":"A topic discovery approach for unsupervised organization of legal document collections","authors":"Daniela Vianna, Edleno Silva De Moura, Altigran Soares da Silva","doi":"10.1007/s10506-023-09371-w","DOIUrl":"https://doi.org/10.1007/s10506-023-09371-w","url":null,"abstract":"","PeriodicalId":51336,"journal":{"name":"Artificial Intelligence and Law","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46420377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Bringing legal knowledge to the public by constructing a legal question bank using large-scale pre-trained language model 利用大规模预训练语言模型构建法律题库,将法律知识带给大众
IF 4.1 2区 社会学 Q1 Social Sciences Pub Date : 2023-07-06 DOI: 10.1007/s10506-023-09367-6
Mingruo Yuan, B. Kao, Tien-Hsuan Wu, Michael M. K. Cheung, Henry Chan, A. Cheung, F. W. Chan, Yongxi Chen
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引用次数: 0
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Artificial Intelligence and Law
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