Graph chain-of-thought: Augmenting large language models by reasoning on graphs

B Jin, C Xie, J Zhang, KK Roy, Y Zhang, Z Li… - arXiv preprint arXiv …, 2024 - arxiv.org
Large language models (LLMs), while exhibiting exceptional performance, suffer from
hallucinations, especially on knowledge-intensive tasks. Existing works propose to augment …

Thirty years of artificial intelligence and law: the third decade

S Villata, M Araszkiewicz, K Ashley… - Artificial Intelligence and …, 2022 - Springer
The first issue of Artificial Intelligence and Law journal was published in 1992. This paper
offers some commentaries on papers drawn from the Journal's third decade. They indicate a …

A survey of research on data analytics-based legal tech

SH Park, DG Lee, JS Park, JW Kim - Sustainability, 2021 - mdpi.com
Data analytics provides important tools and methods for processing the data generated
during legal services. This paper aims to provide a systematic survey of the research papers …

Context-aware legal citation recommendation using deep learning

Z Huang, C Low, M Teng, H Zhang, DE Ho… - Proceedings of the …, 2021 - dl.acm.org
Lawyers and judges spend a large amount of time researching the proper legal authority to
cite while drafting decisions. In this paper, we develop a citation recommendation tool that …

Exploiting co-occurrence networks for classification of implicit inter-relationships in legal texts

E Sulis, L Humphreys, F Vernero, IA Amantea… - Information Systems, 2022 - Elsevier
The interpretation of any legal norm typically requires consideration of relationships
between parts within the same piece of legislation. This work describes a general framework …

Improving sequential determinantal point processes for supervised video summarization

A Sharghi, A Borji, C Li, T Yang… - Proceedings of the …, 2018 - openaccess.thecvf.com
It is now much easier than ever before to produce videos. While the ubiquitous video data is
a great source for information discovery and extraction, the computational challenges are …

The Role of Digital Transformation in Improving the Judicial System in the Egyptian Council of State: An Applied Study from a Comparative Perspective

K Aboelazm - Journal of Law and Emerging Technologies, 2022 - jolets.org
The purpose of this paper is to present the meaning of e-justice, the most important
advantages of the e-justice system, and the challenges that face its application, the system …

Combining domain knowledge extraction with graph long short-term memory for learning classification of chinese legal documents

G Li, Z Wang, Y Ma - IEEE Access, 2019 - ieeexplore.ieee.org
It is of great importance for procedure retrieval to find an effective classification method of
Chinese legal documents with deep semantic understanding, as the electronic documents of …

Prototype-Based Interpretability for Legal Citation Prediction

CF Luo, R Bhambhoria, S Dahan, X Zhu - arXiv preprint arXiv:2305.16490, 2023 - arxiv.org
Deep learning has made significant progress in the past decade, and demonstrates
potential to solve problems with extensive social impact. In high-stakes decision making …

A hybrid model utilizing transfer learning for legal citation linking

R Sheik, SS Parida, SJ Nirmala - International Journal of Information …, 2023 - Springer
The advent of transfer learning and its applications in Natural Language Processing (NLP)
open the path to rule legal text data processing tasks. Identifying and citing relevant laws …