Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challenges

F Ariai, G Demartini - arXiv preprint arXiv:2410.21306, 2024 - arxiv.org
Natural Language Processing is revolutionizing the way legal professionals and laypersons
operate in the legal field. The considerable potential for Natural Language Processing in the …

MFLSCI: Multi-granularity fusion and label semantic correlation information for multi-label legal text classification

C Meng, Y Todo, C Tang, L Luan, Z Tang - Engineering Applications of …, 2025 - Elsevier
Multi-label text classification tasks face challenges such as sample diversity, complexity, and
the need for effective utilization of label correlations. In this paper, we propose a model that …

HD-LJP: A Hierarchical Dependency-based Legal Judgment Prediction Framework for multi-task learning

Y Zhang, X Wei, H Yu - Knowledge-Based Systems, 2024 - Elsevier
In real-world scenarios, multiple subtasks of legal judgment (such as law article, charge, and
term of penalty) have strict task logical order and label topological relation, and their results …

[HTML][HTML] Construction of Legal Knowledge Graph Based on Knowledge-Enhanced Large Language Models

J Li, L Qian, P Liu, T Liu - Information, 2024 - mdpi.com
Legal knowledge involves multidimensional heterogeneous knowledge such as legal
provisions, judicial interpretations, judicial cases, and defenses, which requires extremely …

A multi-label legal charge prediction method based on summarization generation

B Qiu, L Meng, X Li, Q Liu, J Ge, L Li - Web Intelligence - content.iospress.com
Abstract Legal Charge Prediction (LCP) is a task of predicting charge labels for which a
criminal should be charged based on the factual case descriptions. In recent years, the …