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Learning Fine-grained Fact-Article Correspondence in Legal Cases [article]

Jidong Ge, Yunyun huang, Xiaoyu Shen, Chuanyi Li, Wei Hu
2021 arXiv   pre-print
Our best system reaches an F1 score of 96.3%, making it of great potential for practical use.  ...  We believe that learning fine-grained correspondence between each single fact and law articles is crucial for an accurate and trustworthy AI system.  ...  EasyAug: An automatic textual data aug- Backpropagation, conjugate gradient, and early stopping. In Advances in neural mentation platform for classification tasks.  ... 
arXiv:2104.10726v3 fatcat:o2ht6u6bifezffvy6nbkxyctrm