J. F. Muñoz-Soro, Rafael del Hoyo Alonso, Rosa Montañes, Francisco Lacueva
{"title":"A neural network to identify requests, decisions, and arguments in court rulings on custody","authors":"J. F. Muñoz-Soro, Rafael del Hoyo Alonso, Rosa Montañes, Francisco Lacueva","doi":"10.1007/s10506-023-09380-9","DOIUrl":"https://doi.org/10.1007/s10506-023-09380-9","url":null,"abstract":"","PeriodicalId":51336,"journal":{"name":"Artificial Intelligence and Law","volume":"112 6","pages":""},"PeriodicalIF":4.1,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139444496","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}
{"title":"Cytomorphological traits of fine-needle aspirates of hyalinizing trabecular tumor of the thyroid gland: A brief report.","authors":"Fei Wang, Yufei Liu","doi":"10.4103/ijpm.ijpm_405_22","DOIUrl":"10.4103/ijpm.ijpm_405_22","url":null,"abstract":"<p><strong>Background: </strong>The incidence of thyroid tumor is increasing, and preoperative diagnosis of hyalinizing trabecular tumor (HTT) is difficult.</p><p><strong>Aim: </strong>To investigate the cytological features of HTT of the thyroid gland.</p><p><strong>Settings and design: </strong>A retrospective observational study.</p><p><strong>Materials and methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":51336,"journal":{"name":"Artificial Intelligence and Law","volume":"27 1","pages":"128-132"},"PeriodicalIF":1.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70762852","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}
Yuri D. R. Costa, Hugo Oliveira, Valério Nogueira, Lucas Massa, Xu Yang, Adriano Barbosa, Krerley Oliveira, T. Vieira
{"title":"Automating petition classification in Brazil’s legal system: a two-step deep learning approach","authors":"Yuri D. R. Costa, Hugo Oliveira, Valério Nogueira, Lucas Massa, Xu Yang, Adriano Barbosa, Krerley Oliveira, T. Vieira","doi":"10.1007/s10506-023-09385-4","DOIUrl":"https://doi.org/10.1007/s10506-023-09385-4","url":null,"abstract":"","PeriodicalId":51336,"journal":{"name":"Artificial Intelligence and Law","volume":"62 2","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138999292","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}
{"title":"Reasoning with inconsistent precedents","authors":"Ilaria Canavotto","doi":"10.1007/s10506-023-09382-7","DOIUrl":"https://doi.org/10.1007/s10506-023-09382-7","url":null,"abstract":"","PeriodicalId":51336,"journal":{"name":"Artificial Intelligence and Law","volume":"15 5","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139002537","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}
K. Branting, Bradford Brown, Chris Giannella, J. V. Guilder, Jeff Harrold, Sarah Howell, Jason R. Baron
{"title":"Decision support for detecting sensitive text in government records","authors":"K. Branting, Bradford Brown, Chris Giannella, J. V. Guilder, Jeff Harrold, Sarah Howell, Jason R. Baron","doi":"10.1007/s10506-023-09383-6","DOIUrl":"https://doi.org/10.1007/s10506-023-09383-6","url":null,"abstract":"","PeriodicalId":51336,"journal":{"name":"Artificial Intelligence and Law","volume":"2 4","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138982323","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}
{"title":"Enhancing legal judgment summarization with integrated semantic and structural information","authors":"Jingpei Dan, Weixuan Hu, Yuming Wang","doi":"10.1007/s10506-023-09381-8","DOIUrl":"https://doi.org/10.1007/s10506-023-09381-8","url":null,"abstract":"","PeriodicalId":51336,"journal":{"name":"Artificial Intelligence and Law","volume":"46 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139235415","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}
Joaquín Arias, Mar Moreno-Rebato, Jose A. Rodriguez-García, Sascha Ossowski
{"title":"Automated legal reasoning with discretion to act using s(LAW)","authors":"Joaquín Arias, Mar Moreno-Rebato, Jose A. Rodriguez-García, Sascha Ossowski","doi":"10.1007/s10506-023-09376-5","DOIUrl":"10.1007/s10506-023-09376-5","url":null,"abstract":"<div><p>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 <i>justify</i> 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 <i>discretionality to act</i> and other vague concepts such as <i>ambiguity</i> 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”.</p></div>","PeriodicalId":51336,"journal":{"name":"Artificial Intelligence and Law","volume":"32 4","pages":"1141 - 1164"},"PeriodicalIF":3.1,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139255770","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}
{"title":"Bringing order into the realm of Transformer-based language models for artificial intelligence and law","authors":"Candida M. Greco, Andrea Tagarelli","doi":"10.1007/s10506-023-09374-7","DOIUrl":"10.1007/s10506-023-09374-7","url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":51336,"journal":{"name":"Artificial Intelligence and Law","volume":"32 4","pages":"863 - 1010"},"PeriodicalIF":3.1,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10506-023-09374-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142519046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}