研究论文
LF-HGRILF: A law-fact heterogeneous graph representation and iterative learning framework for legal judgment prediction
Yinying Kong, You‐Gan Wang, Haodong Deng, Zhanhao Xiao, Yuke Zhang
Guangdong University Of Finances and Economics Guangdong Polytechnic Normal University
来源Knowledge-Based Systems
年份2025
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学术脉络
学科主题
社会科学Artificial Intelligence in Law
Topic Modeling · Advanced Graph Neural Networks
参考文献 62
Least squares support vector machine classifiers: a large scale algorithm
被引 228Johan A. K. Suykens, Luděk Lukáš, Paul M. Van Dooren · 1999
Term-weighting approaches in automatic text retrieval
被引 9,800Gerard Salton, Chris Buckley · Information Processing & Management · 1988
Predicting Supreme Court Decisions Mathematically: A Quantitative Analysis of the “Right to Counsel” Cases
被引 200Fred Kort · American Political Science Review · 1957
此处列出前 3 条
引用本文 3
A legal text semantic generation framework based on multimodal feature fusion and dynamic weight optimization
被引 2Songling Qian, Yun Liu, Zheng Yang · Applied Intelligence · 2026
Simulating judicial reasoning: a plea-guided explainable graph neural network for civil judgment prediction
被引 0Xiang Lu, Danyang Xu, J. X. Shan · Journal of King Saud University - Computer and Information Sciences · 2026
Explainable Deep Learning for Legal Judgment Prediction: Based on Structured Data from the Swiss Federal Supreme Court
被引 0Liqing Tang · International Symposium on Big Data and Applied Statistics (ISBDAS) · 2026
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