Vietnamese Legal

Research on Vietnamese legal text processing focuses on efficiently organizing and extracting information from legal documents and queries. Current efforts leverage deep learning models, including ensemble learning, heterogeneous graph construction, and deep neural networks with biaffine classifiers, to improve tasks like information retrieval, skill detection in job listings, and question answering. These advancements aim to enhance legal research, improve access to legal information, and support more effective decision-making in the Vietnamese legal system. The development of robust and accurate models is crucial for addressing the challenges posed by the unique characteristics of the Vietnamese language and legal framework.