MANN: A Multichannel Attentive Neural Network for Legal Judgment Prediction
Recent years have witnessed an opportunity to improve trial efficiency and quality by predictive analysis of massive judgment documents. A practical legal judgment prediction (LJP) system should provide a judge with feasible judgment suggestions, including the charges, applicable law articles, and p...
Main Authors: | Shang Li, Hongli Zhang, Lin Ye, Xiaoding Guo, Binxing Fang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8861054/ |
Similar Items
-
TenRR: An Approach Based on Innovative Tensor Decomposition and Optimized Ridge Regression for Judgment Prediction of Legal Cases
by: Xiaoding Guo, et al.
Published: (2020-01-01) -
An Approach Based on Cross-Attention Mechanism and Label-Enhancement Algorithm for Legal Judgment Prediction
by: Chen, J., et al.
Published: (2023) -
Calibrating Legal Judgments
by: Frederick Schauer, et al.
Published: (2017-09-01) -
Beauty and the Behest: Distinguishing Legal Judgment and Aesthetic Judgment in the Context of 21st Century Street Art and Graffiti
by: Andrea Baldini
Published: (2017-08-01) -
The Legal Effects of Invalid Judgment in the Code of Civil Procedure
by: Yaser Basim Thanoon, et al.
Published: (2011-06-01)