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DiscoLQA: zero-shot discourse-based legal question answering on European Legislation DiscoLQA:关于欧洲立法的基于零镜头话语的法律问题解答
IF 4.1 2区 社会学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-01-10 DOI: 10.1007/s10506-023-09387-2
Francesco Sovrano, Monica Palmirani, Salvatore Sapienza, Vittoria Pistone
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引用次数: 0
A neural network to identify requests, decisions, and arguments in court rulings on custody 识别法院监护权裁决中的请求、决定和论据的神经网络
IF 4.1 2区 社会学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-01-09 DOI: 10.1007/s10506-023-09380-9
J. F. Muñoz-Soro, Rafael del Hoyo Alonso, Rosa Montañes, Francisco Lacueva
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引用次数: 0
Cytomorphological traits of fine-needle aspirates of hyalinizing trabecular tumor of the thyroid gland: A brief report. 甲状腺透明小梁瘤细针穿刺细胞形态学特征:简要报告。
IF 1 2区 社会学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-01-01 DOI: 10.4103/ijpm.ijpm_405_22
Fei Wang, Yufei Liu

Background: The incidence of thyroid tumor is increasing, and preoperative diagnosis of hyalinizing trabecular tumor (HTT) is difficult.

Aim: To investigate the cytological features of HTT of the thyroid gland.

Settings and design: A retrospective observational study.

Materials and methods: Ultrasonography, preoperative needle aspiration cytology, postoperative histopathology, immunohistochemistry, and BRAF V600E gene test were performed in five patients with HTT to analyze the pathological characteristics of the patients and review the relevant literature.

Results: Four female and one male patients with HTT were recruited. Fine-needle aspiration cytology (FNAC) showed bloodstained background tumor cells with multiple morphologies. The tumor cells exhibited ovoid nuclei, abundant cytoplasm, fine chromatin, nuclear crowding and overlapping, and small nucleoli. Focal nuclear pseudoinclusions and grooves were present. No papillary structures or psammoma bodies were observed. In all cases, tumor cells were radially distributed around the eosinophilic extracellular matrix. In 40% (2 in 5) of cases, trabecular patterns of elongated tumor cells were present, with their nuclei staggered along the longitudinal axis of tumor cells in the trabeculae. FNAC suggested two cases of HTT and three cases of papillary thyroid cancer. Post-operational biopsy indicated they were HTT cases.

Conclusion: HTT is a rare thyroid tumor with non-specific clinical manifestations. It can be misinterpreted as papillary thyroid carcinoma by FNAC. However, its cytomorphological traits are helpful in the diagnosis. In combination with FNAC, immunohistochemistry, and molecular testing, HTT can be accurately diagnosed.

背景:甲状腺肿瘤的发病率越来越高,而透明小梁瘤(HTT)的术前诊断非常困难。目的:研究甲状腺HTT的细胞学特征:材料与方法:超声波检查、术前小梁瘤细胞学检查:对5例HTT患者进行超声波检查、术前针吸细胞学检查、术后组织病理学检查、免疫组化检查和BRAF V600E基因检测,分析患者的病理特征并回顾相关文献:结果:共招募了四名女性和一名男性 HTT 患者。细针穿刺细胞学检查(FNAC)显示血染的背景肿瘤细胞具有多种形态。肿瘤细胞核呈卵圆形,胞浆丰富,染色质细腻,核拥挤和重叠,核小。存在局灶性核假包涵体和核沟纹。未观察到乳头状结构或脓肿体。在所有病例中,肿瘤细胞围绕嗜酸性细胞外基质呈放射状分布。40%的病例(每5例中有2例)存在细长的肿瘤细胞小梁形态,细胞核沿小梁中肿瘤细胞的纵轴交错分布。FNAC提示2例为HTT,3例为甲状腺乳头状癌。术后活检结果显示它们均为HTT病例:HTT是一种罕见的甲状腺肿瘤,具有非特异性临床表现。结论:HTT是一种罕见的甲状腺肿瘤,临床表现无特异性,可通过FNAC误诊为甲状腺乳头状癌。不过,其细胞形态学特征有助于诊断。结合FNAC、免疫组化和分子检测,可以准确诊断HTT。
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引用次数: 0
Automating petition classification in Brazil’s legal system: a two-step deep learning approach 巴西法律系统中的请愿分类自动化:两步式深度学习方法
IF 4.1 2区 社会学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-12-15 DOI: 10.1007/s10506-023-09385-4
Yuri D. R. Costa, Hugo Oliveira, Valério Nogueira, Lucas Massa, Xu Yang, Adriano Barbosa, Krerley Oliveira, T. Vieira
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引用次数: 0
Reasoning with inconsistent precedents 根据不一致的先例进行推理
IF 4.1 2区 社会学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-12-14 DOI: 10.1007/s10506-023-09382-7
Ilaria Canavotto
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引用次数: 0
Decision support for detecting sensitive text in government records 为检测政府档案中的敏感文本提供决策支持
IF 4.1 2区 社会学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-12-10 DOI: 10.1007/s10506-023-09383-6
K. Branting, Bradford Brown, Chris Giannella, J. V. Guilder, Jeff Harrold, Sarah Howell, Jason R. Baron
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引用次数: 0
Enhancing legal judgment summarization with integrated semantic and structural information 利用综合语义和结构信息加强法律判决摘要分析
IF 4.1 2区 社会学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-11-26 DOI: 10.1007/s10506-023-09381-8
Jingpei Dan, Weixuan Hu, Yuming Wang
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引用次数: 0
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 3.1 2区 社会学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-11-20 DOI: 10.1007/s10506-023-09376-5
Joaquín Arias, Mar Moreno-Rebato, Jose A. Rodriguez-García, Sascha Ossowski

Automated legal reasoning and its application in smart contracts and automated decisions are increasingly attracting interest. In this context, ethical and legal concerns make it necessary for automated reasoners to justify in human-understandable terms the advice given. Logic Programming, specially Answer Set Programming, has a rich semantics and has been used to very concisely express complex knowledge. However, modelling discretionality to act and other vague concepts such as ambiguity cannot be expressed in top-down execution models based on Prolog, and in bottom-up execution models based on ASP the justifications are incomplete and/or not scalable. We propose to use s(CASP), a top-down execution model for predicate ASP, to model vague concepts following a set of patterns. We have implemented a framework, called s(LAW), to model, reason, and justify the applicable legislation and validate it by translating (and benchmarking) a representative use case, the criteria for the admission of students in the “Comunidad de Madrid”.

自动法律推理及其在智能合约和自动决策中的应用越来越受到关注。在这种情况下,出于道德和法律方面的考虑,自动推理器有必要以人类可理解的方式证明所给出的建议是合理的。逻辑编程,特别是答案集编程,具有丰富的语义,已被用于非常简洁地表达复杂的知识。然而,基于 Prolog 的自上而下执行模型无法表达行动的自由裁量权建模和其他模糊概念(如模糊性),而基于 ASP 的自下而上执行模型则无法完整和/或扩展理由。我们建议使用 s(CASP)--谓词 ASP 的自顶向下执行模型--按照一组模式对模糊概念建模。我们实施了一个名为 s(LAW)的框架,用于对适用法律进行建模、推理和论证,并通过翻译(和基准测试)一个具有代表性的用例("马德里社区 "的学生录取标准)对其进行验证。
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引用次数: 0
Bringing order into the realm of Transformer-based language models for artificial intelligence and law 将秩序带入基于 Transformer 的人工智能和法律语言模型领域
IF 3.1 2区 社会学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-11-20 DOI: 10.1007/s10506-023-09374-7
Candida M. Greco, Andrea Tagarelli

Transformer-based language models (TLMs) have widely been recognized to be a cutting-edge technology for the successful development of deep-learning-based solutions to problems and applications that require natural language processing and understanding. Like for other textual domains, TLMs have indeed pushed the state-of-the-art of AI approaches for many tasks of interest in the legal domain. Despite the first Transformer model being proposed about six years ago, there has been a rapid progress of this technology at an unprecedented rate, whereby BERT and related models represent a major reference, also in the legal domain. This article provides the first systematic overview of TLM-based methods for AI-driven problems and tasks in the legal sphere. A major goal is to highlight research advances in this field so as to understand, on the one hand, how the Transformers have contributed to the success of AI in supporting legal processes, and on the other hand, what are the current limitations and opportunities for further research development.

基于变换器的语言模型(TLM)已被广泛认为是成功开发基于深度学习的解决方案的前沿技术,可以解决需要自然语言处理和理解的问题和应用。与其他文本领域一样,TLM 在法律领域的许多任务中确实推动了人工智能方法的发展。尽管第一个 Transformer 模型是在六年前提出的,但这项技术以前所未有的速度迅速发展,其中 BERT 和相关模型在法律领域也具有重要的参考价值。本文首次系统地概述了基于 TLM 的方法在法律领域用于人工智能驱动的问题和任务。本文的一个主要目的是重点介绍该领域的研究进展,以便一方面了解变换器如何促进人工智能在支持法律流程方面取得成功,另一方面了解当前的局限性以及进一步研究发展的机遇。
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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 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 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
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Artificial Intelligence and Law
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