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Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources
[article]
2021
arXiv
pre-print
Machine Reading Comprehension (MRC) aims to extract answers to questions given a passage. It has been widely studied recently, especially in open domains. However, few efforts have been made on closed-domain MRC, mainly due to the lack of large-scale training data. In this paper, we introduce a multi-target MRC task for the medical domain, whose goal is to predict answers to medical questions and the corresponding support sentences from medical information sources simultaneously, in order to
arXiv:2008.10327v2
fatcat:x3knjsb22jhnvpvfq2t2o6sys4