arXiv cs.CL
· Papers
Dice Loss for Data-imbalanced NLP Tasks
arXiv:1911.02855v4 Announce Type: replace Abstract: Many NLP tasks such as tagging and machine reading comprehension are faced with the severe data imbalance issue: negative examples significantly outnumber positive examples, and the huge number of background examples (or easy-negative examples) overwhelms the training