[Retracted] HR Management Big Data Mining Based on Computational Intelligence and Deep Learning

Table 2

Experimental results of Cajon and comparison methods.

Data set	Method	ROUGE			BLEU			Manual evaluation metrics
		ROUGE-1	ROUGE-2	ROUGE-L	BLEU-1 (%)	BLEU-4 (%)	Fluency	Validity
T	Seq2Seq	0.6389	0.4151	0.5996	37.32	16.22	3.66	3.58
	pGNet	0.6413	0.4246	0.6061	38.14	16.75	3.70	3.61
	UniLM	0.6167	0.3965	0.5863	34.64	12.29	3.52	3.14
	SAMA	0.6004	0.3277	0.5455	39.30	15.07	3.47	3.52
	Cajon	0.6531	0.4296	0.6077	41.81	19.41	3.73	3.81
	Seq2Seq	0.7236	0.5085	0.7138	32.02	7.28	3.63	3.34
	pGNet	0.7421	0.5410	0.7331	32.72	8.28	3.67	3.41
	UniLM	0.7542	0.5439	0.7452	31.43	6.42	3.46	3.28
	SAMA	0.7160	0.4788	0.7074	34.76	9.00	3.55	3.49
	Cajon	0.7522	0.5757	0.7531	36.46	10.84	3.78	3.74