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ORCIDArtificial Intelligence and Law, Volume 32
Volume 32, Number 1, March 2024
- Hanif Bhuiyan
, Guido Governatori, Andy Bond, Andry Rakotonirainy:
Traffic rules compliance checking of automated vehicle maneuvers. 1-56 - Ha-Thanh Nguyen, Manh-Kien Phi, Xuan-Bach Ngo, Vu D. Tran, Le-Minh Nguyen, Minh-Phuong Tu:
Attentive deep neural networks for legal document retrieval. 57-86 - Vithor Gomes Ferreira Bertalan, Evandro Eduardo Seron Ruiz:
Using attention methods to predict judicial outcomes. 87-115 - Dovile Baryse, Roee Sarel:
Algorithms in the court: does it matter which part of the judicial decision-making is automated? 117-146 - Yulin Zhou, Lijuan Liu, Yanping Chen, Ruizhang Huang, Yongbin Qin, Chuan Lin:
A novel MRC framework for evidence extracts in judgment documents. 147-163 - Deepali Jain, Malaya Dutta Borah, Anupam Biswas:
A sentence is known by the company it keeps: Improving Legal Document Summarization Using Deep Clustering. 165-200 - Hugo Mentzingen, Nuno António, Victor Sousa Lobo:
Joining metadata and textual features to advise administrative courts decisions: a cascading classifier approach. 201-230 - Aniket Deroy, Kripabandhu Ghosh, Saptarshi Ghosh:
Ensemble methods for improving extractive summarization of legal case judgements. 231-289 - Vithor Gomes Ferreira Bertalan, Evandro Eduardo Seron Ruiz:
Correction: Using attention methods to predict judicial outcomes. 291
Volume 32, Number 2, June 2024
- Alice Witt, Anna Huggins, Guido Governatori, Joshua Buckley:
Encoding legislation: a methodology for enhancing technical validation, legal alignment and interdisciplinarity. 293-324 - Meghdad Ghari:
A formalization of the Protagoras court paradox in a temporal logic of epistemic and normative reasons. 325-367 - Fábio M. Oliveira, Marcelo de Sousa Balbino, Luis E. Zárate, Fawn Ngo, Ramakrishna Govindu, Anurag Agarwal, Cristiane Neri Nobre:
Predicting inmates misconduct using the SHAP approach. 369-395 - Junlin Zhu, Jiaye Wu, Xudong Luo, Jie Liu:
Semantic matching based legal information retrieval system for COVID-19 pandemic. 397-426 - Bartosz Brozek, Michal Furman, Marek Jakubiec, Bartlomiej Kucharzyk:
The black box problem revisited. Real and imaginary challenges for automated legal decision making. 427-440 - Axel Constant:
A Bayesian model of legal syllogistic reasoning. 441-462 - Benjamin M. Chen, Zhiyu Li, David Cai, Elliott Ash:
Detecting the influence of the Chinese guiding cases: a text reuse approach. 463-486 - Yifan Hou, Ge Cheng, Yun Zhang, Dongliang Zhang:
Methods of incorporating common element characteristics for law article prediction. 487-503 - Livio Robaldo, Sotiris Batsakis, Roberta Calegari, Francesco Calimeri, Megumi Fujita, Guido Governatori, Maria Concetta Morelli, Francesco Pacenza, Giuseppe Pisano, Ken Satoh, Ilias Tachmazidis, Jessica Zangari:
Compliance checking on first-order knowledge with conflicting and compensatory norms: a comparison among currently available technologies. 505-555
Volume 32, Number 3, September 2024
- Ivan Habernal, Daniel Faber, Nicola Recchia, Sebastian Bretthauer, Iryna Gurevych, Indra Spiecker genannt Döhmann, Christoph Burchard:
Mining legal arguments in court decisions. 1-38 - Xiang Zhou, Qi Liu, Yiquan Wu, Qiangchao Chen, Kun Kuang:
LK-IB: a hybrid framework with legal knowledge injection for compulsory measure prediction. 595-620 - Martín O. Moguillansky, Diego C. Martínez, Luciano H. Tamargo, Antonino Rotolo:
An approach to temporalised legal revision through addition of literals. 621-666 - Francisco de Oliveira, José Maria Parente de Oliveira:
A RDF-based graph to representing and searching parts of legal documents. 667-695 - Carlos R. Rodríguez Rodríguez, Yarina Amoroso Fernández, Denis Sergeevich Zuev, Marieta Peña Abreu, Yeleny Zulueta-Veliz:
M-LAMAC: a model for linguistic assessment of mitigating and aggravating circumstances of criminal responsibility using computing with words. 697-739 - Mahdi Bakhshayesh, Hamidreza Abbasianjahromi:
Integrating text mining and system dynamics to evaluate financial risks of construction contracts. 741-768 - Mingruo Yuan, Ben Kao, Tien-Hsuan Wu, Michael M. K. Cheung, Henry W. H. Chan, Anne S. Y. Cheung, Felix W. H. Chan, Yongxi Chen:
Bringing legal knowledge to the public by constructing a legal question bank using large-scale pre-trained language model. 769-805 - Iris Schepers, Masha Medvedeva, Michelle Bruijn, Martijn Wieling, Michel Vols:
Predicting citations in Dutch case law with natural language processing. 807-837 - Daniel Braun:
I beg to differ: how disagreement is handled in the annotation of legal machine learning data sets. 839-862
Volume 32, Number 4, December 2024
- Candida Maria Greco, Andrea Tagarelli:
Bringing order into the realm of Transformer-based language models for artificial intelligence and law. 863-1010 - Sungmi Park, Joshua I. James:
Lessons learned building a legal inference dataset. 1011-1044 - Daniela Vianna, Edleno Silva de Moura, Altigran Soares da Silva:
A topic discovery approach for unsupervised organization of legal document collections. 1045-1074 - Raphaël Gyory, David Restrepo Amariles, Gregory Lewkowicz, Hugues Bersini:
Ant: a process aware annotation software for regulatory compliance. 1075-1110 - Gianluca Moro, Nicola Piscaglia, Luca Ragazzi, Paolo Italiani:
Multi-language transfer learning for low-resource legal case summarization. 1111-1139 - Joaquín Arias, Mar Moreno-Rebato, José A. Rodríguez-García, Sascha Ossowski:
Automated legal reasoning with discretion to act using s(LAW). 1141-1164
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