RnRTD: Intelligent Approach Based on the Relationship-Driven Neural Network and Restricted Tensor Decomposition for Multiple Accusation Judgment in Legal Cases

Table 2

Performance of RnRTD methods based on multiple deep neural networks.

Optimization method	Basic algorithm
	TextCNN	TextRNN	TextCNN attention	TextRNN attention	LSTM	Bi-LSTM	GRU
Original method	0.70	0.73	0.74	0.76	0.75	0.77	0.79
Only with RTD	0.73	0.77	0.79	0.82	0.80	0.81	0.83
Only with rdRNN	0.74	0.80	0.82	0.83	0.83	0.84	0.82
With RnRTD	0.80	0.85	0.85	0.90	0.91	0.93	0.91