Hyper-parameter settings for the RL model.

Figshare2020-07-30 更新2026-04-28 收录

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2020-07-30

Hyper-parameter settings for the RL model.

(Written by authors).

NIAID Data Ecosystem50

Hyper-parameters settings in our model.

Legal Judgment Prediction (LJP) is a core task in Legal AI systems, which aims to predict law articles, charges, and term-of-penalty from case facts. While existing deep-learning-based LJP approaches

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Hyper-parameter of the trained model.

Advancements in deep learning have revolutionized numerous real-world applications, including image recognition, visual question answering, and image captioning. Among these, image captioning has emer

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Hyper-parameters settings in our model.

Legal Judgment Prediction (LJP) is a core task in Legal AI systems, which aims to predict law articles, charges, and term-of-penalty from case facts. While existing deep-learning-based LJP approaches

NIAID Data Ecosystem00

Hyper-parameter of the trained model.

NIAID Data Ecosystem00