dice loss for data imbalanced nlp tasks

Keyword Analysis

Keyword	CPC	PCC	Volume	Score	Length of keyword
dice loss for data imbalanced nlp tasks	0.53	0.5	3727	44	39
dice	1.92	0.9	6238	76	4
loss	0.3	0.6	3904	16	4
for	0.79	0.1	8062	86	3
data	1.06	0.4	8627	47	4
imbalanced	1.73	0.6	5452	12	10
nlp	0.57	0.3	3932	59	3
tasks	0.03	1	4146	45	5

Keyword	CPC	PCC	Volume	Score
dice loss for data-imbalanced nlp tasks	0.04	0.6	9308	55
dice_loss	1.77	0.9	4166	26
dice loss ce loss	1.92	0.2	5303	56
handling data imbalance nlp	1.77	0.7	5451	63
loss_dice	1.64	0.6	4839	47
dice loss bce loss	1.27	0.9	5321	72
dice loss focal loss	1.13	0.2	1268	6
dice problems logical reasoning	0.7	0.7	7620	17
dice loss ignore_index	1.26	0.8	5972	18
dice coefficient loss function	0.88	0.3	9557	90
dice-coefficient loss	1.36	0.5	8547	22
dice + ce loss	1.09	0.6	7731	36
dice_loss false	0.47	0.2	6764	11
nn.dice_loss	1.16	0.2	9622	21
python dice_loss	0.6	0.7	23	97
low balance dice strategy	0.77	0.6	6577	23
generalized_dice_loss	1.95	0.7	2964	66
dice_bce_loss	0.73	0.2	8955	10