Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension

NAACL 2019 Yichong XuXiaodong LiuYelong ShenJingjing LiuJianfeng Gao

We propose a multi-task learning framework to learn a joint Machine Reading Comprehension (MRC) model that can be applied to a wide range of MRC tasks in different domains. Inspired by recent ideas of data selection in machine translation, we develop a novel sample re-weighting scheme to assign sample-specific weights to the loss... (read more)

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