Research on Neural Network for Trial Difficulty Prediction
Trial difficulty prediction (TDP) is the task of automatically predicting the difficulty of a trial given the case text, which has a broad application prospect in judicial intelligent system. In practice, the tools of TDP rely heavily on the experience of experts, which leads different conclusions i...
Main Author: | WANG Yue, WANG Pinghui, XU Nuo, CHEN Long, YANG Peng, WU Yong |
---|---|
Format: | Article |
Language: | zho |
Published: |
Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press
2021-12-01
|
Series: | Jisuanji kexue yu tansuo |
Subjects: | |
Online Access: | http://fcst.ceaj.org/CN/abstract/abstract2983.shtml |
Similar Items
-
Information on blinding in registered records of clinical trials
by: Viergever Roderik F, et al.
Published: (2012-11-01) -
Approaches for enhancing the informativeness and quality of clinical trials: Innovations and principles for implementing multicenter trials from the Trial Innovation Network
by: Karen Lane, et al.
Published: (2023-01-01) -
The Possibility of Reuse of Nanofiber Mats by Machine Washing at Different Temperatures
by: Al Mamun, et al.
Published: (2021-08-01) -
Using gamification to enhance clinical trial start-up activities
by: Karen Lane, et al.
Published: (2022-01-01) -
Development, implementation, and dissemination of operational innovations across the trial innovation network
by: Marisha E. Palm, et al.
Published: (2023-01-01)