HD-LJP: A Hierarchical Dependency-based Legal Judgment Prediction Framework for Multi-task Learning-Reference-Cited by-同舟云学术

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HD-LJP: A Hierarchical Dependency-based Legal Judgment Prediction Framework for Multi-task Learning

Published:2024-09 Issue: Volume:299 Page:112033
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Zhang Yunong,Wei Xiao^ORCID,Yu Hang^ORCID

Publisher

Elsevier BV

Reference47 articles.

1. Learning legal text representations via disentangling elements;Miao;Expert Syst. Appl.,2024

2. Artificial intelligence and human translation: A contrastive study based on legal texts;Moneus;Heliyon,2024

3. How does NLP benefit legal system: A summary of legal artificial intelligence;Zhong,2020

4. Improving colloquial case legal judgment prediction via abstractive text summarization;Hong;Comput. Law Secur. Rev.,2023

5. Legal judgment prediction via multi-perspective bi-feedback network;Yang,2019

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Study on the Role of Knowledge Mapping Technology in Constructing a Knowledge System for Student Management and Promoting Innovation in and Political Education;Applied Mathematics and Nonlinear Sciences;2024-01-01

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